Invited Sessions



(S001) Complex Medical Data Analysis


Chair: Hua Liang, George Washington University


Organizer: Hua Liang, George Washington University


Speakers:


Ling Zhou, Southwestern University of Finance and Economics

Efficient estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data

Ling Zhou.pdf




Xiang Liu, University of South Florida

Bayesian Piecewise Linear Mixed Models with a Random Change Point

Xiang Liu.pdf




Xinmin Li, Qingdao University

Fiducial Model Selection

Xinmin Li.pdf




Hua Liang, George Washington University

High-dimensional Tobit models 

Hua Liang.pdf


(S002) Recent Advances in Functional Data Analysis


Chair: Jeng-Min Chiou, Academia Sinica


Organizer: Jeng-Min Chiou, Academia Sinica


Speakers:


Byeong Park, Seoul National University

Additive Regression for Predictors of Various Natures and Hilbertian Responses with Application to Censored and Missing Data

Byeong Uk Park.pdf




Naisyin Wang, University of Michigan

Predictive Functional Linear Models with Semiparametric Single-Index Interactions

Naisyin Wang.pdf




Jin-Ting Zhang, National University of Singapore

A new knn-classifier for functional data with applications

Jin-Ting Zhang.pdf




Kaijie Xue, Nankai university

Hypothesis Testing in Large-scale Functional Linear Regression

Kaijie Xue.pdf


(S003) Methodologies for complex survival data


Chair: Chin-Tsang Chiang, National Taiwan University


Organizer: Ming-Yueh Huang, Institute of Statistical Science, Academia Sinica


Speakers:


Ying Sheng, University of California at San Francisco

Information Synthesis and Variable Selection Using A Penalized Empirical Likelihood Approach

Ying Sheng.pdf




Yuan Chen, Columbia University

Synthesizing Independent Stagewise Trials for Optimal Dynamic Treatment Regimes

Yuan Chen.pdf




Jin-Jian Hsieh, National Chung Cheng University

Quantile Residual Life Regression Based on Semi-Competing Risks Data

Jin-Jian Hsieh.pdf




Ming-Yueh Huang, Institute of Statistical Science, Academia Sinica

Dimension reduction in multivariate baseline proportional hazards models

Ming-Yueh Huang.pdf


(S004) Modeling and inference for high-dimensional data


Chair: Ming-Yen Cheng, Hong Kong Baptist University


Organizer: Ming-Yen Cheng, Hong Kong Baptist University


Speakers:


Lijian Yang, Tsinghua University

Generalized Additive Model: Theory, Methods and Applications over Thirty Years

Lijian Yang.pdf




Rongmao Zhang, Zhejiang University

Cointegration Rank Estimation for High-dimensional Time Series with Breaks

Rongmao Zhang.pdf




Yuedong Wang, University of California-Santa Barbara

Combining Smoothing Spline with Conditional Gaussian Graphical Model for Density and Graph Estimation

Yuedong Wang.pdf




Jie Ding, University of Minnesota

Predicting time series with abrupt changes and smooth evolutions

Jie Ding.pdf




(S005) Machine Learning Methods in Biomedical Science


Chair: Fenghai Duan, Brown University


Organizer: Rui Feng, University of Pennsylvania


Speakers:


Yuan Jiang, Oregon State University

Data Integration of Multiple Genome-Wide Association Studies Under Group Homogeneous Structure

Yuan Jiang.pdf




Jiwei Zhao, State University of New York at Buffalo

A unified machine learning method of determining the minimal important difference with the linear structure

Jiwei Zhao.pdf




Sherry Wang, Southern Methodist University

A Bayesian Semi-supervised Approach to Key Phrase Extraction with Only Positive and Unlabeled Data

Sherry Wang.pdf




Rui Feng, University of Pennsylvania

Deep Learning with Graph Structure in Small Samples

Rui Feng.pdf


(S006) Frontiers in Financial Statistics and Beyond


Chair: Yingying Li, Hong Kong University of Science and Technology


Organizer: Yingying Li, Hong Kong University of Science and Technology


Speakers:


Zhengjun Zhang, University of Wisconsin

Max-linear regression models with regularization

Zhengjun Zhang.pdf




Yi Ding, Hong Kong University of Science and Technology

Factor Modeling for Volatility

Yi Ding.pdf




Mengmeng Ao, Xiamen University

Estimating Large Efficient Portfolios with Heteroscedastic Returns

Mengmeng Ao.pdf




Cheng Yong Tang, Temple University

Specification Tests for Covariance Structures in High-Dimensional Statistical Models

Cheng Yong Tang.pdf




(S007) Recent Advances on Large Complex Data


Chair: Xinghua Zheng, Hong Kong University of Science and Technology


Organizer: Yingying Li, Hong Kong University of Science and Technology


Speakers:


Ming Yuan, Columbia University

Information Based Complexity of High Dimensional Sparse Functions

Ming Yuan.pdf




Zijian Guo, Rutgers University

Inference for Case Probability in High-dimensional Logistic Regression

Zijian Guo.pdf




Rui Song, North Carolina State University

Statistical learning for individualized asset allocation

Rui Song.pdf




Lilun Du, Hong Kong University of Science and Technology

Change-detection-assisted multiple testing for spatiotemporal data

LILUN_DU.pdf



(S008) New statistical learning methods for data science problems


Chair: Peng Wang, University of Cincinnati 


Organizer: Annie Qu, University of Illinois


Speakers:


Xiwei Tang, University of Virginia

Correlation Tensor Decomposition and Its Application in Spatial Imaging Data

Xiwei Tang.pdf




Yushen Dong, University of Illinois at Chicago

Nonparametric interaction selection and screening

Yushen Dong.pdf




Ruoqing Zhu, University of Illinois

A Parsimonious Personalized Dose Finding Model via Dimension Reduction

Ruoqing Zhu.pdf




Peng Wang, University of Cincinnati

Repro Sampling Method for Joint Inference of Model Selection and Regression Coefficients in High Dimensional Linear Models

Peng Wang.pdf

 


(S009) Theoretical challenges for estimations and predictions for large-scale data


Chair: Fei Xue, University of Illinois


Organizer: Annie Qu, University of Illinois


Speakers:


Juan Shen, Fudan University

Subgroup Analysis Based on Structured Mixed-effects Models for Longitudinal Data

Juan Shen.pdf




Junhui Wang, City University of Hong Kong

Collaborative bipartite ranking for personalized prediction

Junhui Wang.pdf




Tiejun Tong, Hong Kong Baptist University

A pairwise Hotelling method for testing high-dimensional mean vectors

Tiejun Tong.pdf




Fei Xue, University of Illinois

Integrating multi-source block-wise missing data in model selection

Fei Xue.pdf


(S010) New challenges in nonparametric inference


Chair: Young Kyung Lee, Kangwon National University


Organizer: Young Kyung Lee, Kangwon National University


Speakers:


Kyusang Yu, Konkuk University

Nonparametric modeling of heteroscedasticity in multi-dimensional regression

Kyusang Yu.pdf




Chae Young Lim, Seoul National University

Tail estimation for the spectral density matrix of multivariate Gaussian random fields

Chae Young Lim.pdf




Weining Wang, City University of London

Inference of break-points in high-dimensional time series




Ming-Yen Cheng, Hong Kong Baptist University

Two-step Sparse Boosting for High-Dimensional Longitudinal Data with Varying Coefficients 

Ming-Yen Cheng.pdf


(S011) Modeling and analysis of spatial point pattern data


Chair: Chae Young Lim, Seoul National University


Organizer: Chae Young Lim, Seoul National University


Speakers:


Mikyoung Jun, Texas A&M University

Global multivariate point pattern models for rain type occurrence

Mikyoung Jun.pdf




Zhengyuan Zhu, Iowa State University

Spatial Sampling Design using Generalized Neyman-Scott Process

Zhengyuan Zhu.pdf




Ottmar Cronie, Umeå University

Intensity estimation for spatial point processes

Ottmar Cronie.pdf


(S012) Analysis of Semiparametric Models


Chair: Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Organizer: Liuquan Sun, Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Speakers:


Haijin He, Shenzhen University

Inference in a mixture additive hazards cure model

Haijin HE.pdf




Meiling Hao, University of International Business and Economics

Semiparametric Inference for the Functional Cox Model

Meiling Hao.pdf




Jie Zhou,Capital Normal University

Efficient Fused Learning for Distributed Imbalanced Data

Jie Zhou.pdf

 


(S013) Analysis of High-Dimensional Data


Chair: Jie Zhou,Capital Normal University


Organizer: Liuquan Sun, Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Speakers:


Lianqiang Qu, Central China Normal University

Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data

Lianqiang Qu.pdf




Shaojun Guo, Renmin University of China

Dealing with Sparsity and Efficiency via Bagging-based Algorithm for Spatio-temporal Autoregressions

Shaojun Guo.pdf




Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Improved matrix pooling

Qizhai Li.pdf


(S014) Modelling large-scale data with complex structures


Chair: Junhui Wang, City University of Hong Kong


Organizer: Junhui Wang, City University of Hong Kong


Speakers:


Xinyue Li, City University of Hong Kong

Multilevel Structure Modeling of Wearable Device Data with Applications in Population Studies

Xinyue Li.pdf




Xiaojun Mao, Fudan University

Robust Reduced Rank Regression in a Distributed Setting

Xiaojun Mao.pdf




Dong Xia, Hong Kong University of Science and Technology

Statistical Inferences of Linear Forms for Noisy Matrix Completion

Dong Xia.pdf




(S015) Regression and classification for complex data


Chair: HaiYing Wang, University of Connecticut


Organizer: HaiYing Wang, University of Connecticut


Speakers:


Timothy Cannings, University of Edinburgh

Classification with imperfect training labels

Timothy Cannings.pdf




Peter Radchenko, University of Sydney

Irrational Exuberance:  Correcting Bias in Probability Estimates

Peter Radchenko.pdf




HaiYing Wang, University of Connecticut

Optimal Poisson Subsampling from Massive Data

HaiYing Wang.pdf




(S016) Inference with Complex Data


Chair: Qiwei Yao, London School of Economics


Organizer: Qiwei Yao, London School of Economics


Speakers:


Yining Chen, London School of Economics

Jump or Kink: Super-efficiency in Segmented Linear Regression Break-point Estimation

Yining Chen.pdf




Yunxiao Chen, London School of Economics and Political Science

Model-based Outlier Detection in Multivariate Data with Applications to Detecting Cheating in Tests

Yunxiao Chen.pdf




Idris Eckley, Lancaster University

A computationally efficient approach to the multivariate changepoint problem

Idris Eckley.pdf




Clifford Lam, London School of Economics and Political Science

Online High Dimensional Covariance Change Point Detection

Clifford Lam.pdf



(S017) Innovative Statistical Methods for Analysis of EHR Data



Chair: Yize Zhao, Yale University



Organizer: Qi Long, University of Pennsylvania



Speakers:



Jinbo Chen, University of Pennsylvania

Electronic Health Record Phenotyping using Anchor-Positive and Unlabeled Patients

Jinbo Chen.pdf






Sheng Yu, Tsinghua University

Data-driven discovery of medical terms from Chinese electronic

health records

Sheng Yu.pdf






Jason Roy, Rutgers School of Public Health

Functional clustering methods for extracting features from EHR biomarker history data

Jason Roy.pdf






Sebastien Haneuse, Harvard T.H. Chan School of Public Health

Combining inverse-probability weighting and multiple imputation to adjust for selection bias due to missing data in EHR-based research

Sebastien Haneuse.pdf




(S018) Statistical Methods for Integrative Analysis of Big Biomedical Data



Chair: Qi Long, University of Pennsylvania



Organizer: Qi Long, University of Pennsylvania



Speakers:



Yize Zhao, Yale University

Bayesian Nonparametric Clustering Analysis with an Incorporation of Biological Network for High-Dimensional Multi-Scale Molecular Data

Yize Zhao.pdf






Qianxing Mo, Moffitt Cancer Center

Statistical methods for integrative clustering analysis of multi-omics data

Qianxing Mo.pdf






Wenxuan Zhong, University of Georgia

A powerful AI tool for CHD screening 

Wenxuan Zhong.pdf






Jin Zhou, University of Arizona

DeepBiome: a phylogenetic tree regularized deep neural network for microbiome data analysis

Jin Zhou.pdf



(S019) Innovative statistical methods for hypothesis testing for high-dimensional data


Chair: Ming Wang, Pennsylvania State University


Organizer: Qi Long, University of Pennsylvania


Speakers:


Zhiqi Bu, University of Pennsylvania

SLOPE meets AMP: Does SLOPE outperform LASSO?

Zhiqi Bu.pdf




Yoshimasa Uematsu, Tohoku University

IPAD: Stable Interpretable Forecasting with Knockoffs Inference

Yoshimasa Uematsu.pdf




Yixuan Qiu, Carnegie Mellon University

Gradient-based sparse principal component analysis with extensions to online learning

Yixuan Qiu.pdf




Dongming Huang, Harvard University

RELAXING THE ASSUMPTIONS OF KNOCKOFFS BY CONDITIONING

Dongming Huang.pdf


(S020) Methodological Advancement in High Dimensional Data Analysis


Chair: Zhangsheng Yu, Shanghai Jiao Tong University


Organizer: Honglang Wang, Indiana University-Purdue University Indianapolis


Speakers:


Falong Tan, Hunan University

Adaptive-to-model checking for regressions with diverging number of predictors

Falong Tan.pdf




Guanghui Wang, Nankai Univeristy

Data-driven selection of the number of jumps in regression curves: consistency and error rate control

Guanghui Wang.pdf




Zhangsheng Yu, Shanghai Jiao Tong University

Linear Regression Model with Image Input

Zhangsheng Yu.pdf




Feipeng Zhang, Xi'an Jiaotong University

High-dimensional expectile regression with a possible change point

Feipeng Zhang.pdf

 


(S021) Recent Statistical Advances in Biomedical Research


Chair: Lianfen Qian, Florida Atlantic University


Organizer: Lianfen Qian, Florida Atlantic University


Speakers:


Hira Koul, Michigan State University

Asymptotic distribution of the bias corrected LSEs in measurement error linear regression models under long memory

Hira Koul.pdf




Jianguo Sun, University of Missouri

A Copula Model Approach for Regression Analysis of Informatively Interval-censored Failure Time Data

Jianguo Sun.pdf




Somnath Datta, University of Florida

Personalized Treatment Selection for Joint Optimization of Survival and Other Outcomes

SOMNATH DATTA.pdf




Suojin Wang, Texas A&M University

Oracally Efficient Estimation and Simultaneous Inference in Partially Linear Single-index Models for Longitudinal Data

Suojin Wang.pdf


(S022) Innovative method development for complex survival problems


Chair: Huijuan Ma, East China Normal University


Organizer: Limin Peng, Emory University


Speakers:


Zhiping Qiu, School of Statistics, Huaqiao University

Quantile Regression Models for the Survival Data with Missing Censoring Indicator

Zhiping Qiu.pdf




Xianzheng Huang, University of South Carolina

Parametric mode regression for bounded data

Xianzheng Huang.pdf




Guoqing Diao, George Mason University

Semiparametric regression analysis for composite endpoints subject to component-wise censoring

Guoqing Diao.pdf




Xiaonan Xue, Albert Einstein College of Medicine

Modeling daily and weekly moderate and vigorous physical activity using zero-inflated mixture Poisson distribution

Xiaonan Xue.pdf

 


(S023) Advancement of Quantile Regression Methodology for Complex Data


Chair: Zhiping Qiu, School of Statistics, Huaqiao University


Organizer: Limin Peng, Emory University


Speakers:


Huijuan Ma, East China Normal University

Heterogeneous Individual Risk Modeling of Recurrent Events

Huijuan Ma.pdf




Jinfeng Xu, Hong Kong University

Statistical analysis of stochastic gradient descent

Jinfeng Xu.pdf




Tony Sit, The Chinese University of Hong Kong

Locally Homogeneous Accelerated Failure Time Model with Time-Dependent Covariates

Tony Sit.pdf




Ben Sherwood, University of Kansas

Partially linear additive quantile regression in ultra-high dimension

Ben Sherwood.pdf


(S024) New Advances in Big Data Analysis


Chair: Guoqing Diao, George Mason University


Organizer: Guoqing Diao, George Mason University


Speakers:


Anand Vidyashankar, George Mason University

Supervised Clustering via an Implicit Network for High

Dimensional Data

Anand Vidyashankar.pdf




Scott A. Bruce, George Mason University

Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Time Series

Scott Bruce.pdf




Qingliang Fan, Xiamen University

Estimation of endogenous treatment effect estimation with high dimensional instrumental variables and double selection

Qingliang Fan.pdf



 


(S025) Recent Advances in Statistical Genomics


Chair: Hui Jiang, University of Michigan


Organizer: Hui Jiang, University of Michigan


Speakers:


Jun Li, University of Notre Dame

A sparse clustering algorithm for identifying cluster changes across conditions with applications in single-cell RNA-sequencing data

Jun Li.pdf




Xiang Zhou, University of Michigan

Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies

Xiang Zhou.pdf




Jin Gu, Tsinghua University

Dimension reduction and visualization of single cell RNA sequencing data by deep variational autoencoder

Jin Gu.pdf




Wenchao Zhang,Noble Research Institute

Interpreting Multi-Omics Data through Advancing Statistical Analysis, Parallel Computing, and Information Integration

Wenchao Zhang.pdf


(S026) New Advances in Statistical and Machine Learning Methods for Optimal Treatment Decision Making


Chair: Min Qian, Columbia University


Organizer: Wenbin Lu, North Carolina State University


Speakers:


Donglin Zeng, University of North Carolina

Learning Optimal Treatment Regimes Using Electronic Health Records for T2D Patients

Donglin Zeng.pdf




Yu Cheng, University of Pittsburg

Optimal treatment decision by a combined moderator

Yu Cheng.pdf




Yair Goldberg, Technion - Israel Institute of Technology

Change-point detection for infinite horizon dynamic treatment regimes

Yair Goldberg(S026).pdf




Menggang Yu, University of Wisconsin-Madison

Diagnosis-Group-Specific Transitional Care Program Recommendations for Thirty-Day Rehospitalization Reduction

Menggang Yu.pdf

 


(S027) Recent Developments in Modeling and Estimation for Network Data


Chair: Tianxi Li, University of Virginia


Organizer: Wenbin Lu, NC State University


Speakers:


Danyang Huang, Renmin University of China

Two-Mode Network Autoregressive Model for Large-Scale Networks

Danyang Huang.pdf




Tao Huang, Shanghai University of Finance and Economics

Network-based Clustering for Varying Coecient Panel Data Models

Tao Huang.pdf




Jingfei Zhang, University of Miami

Network Response Regression

Jingfei Zhang.pdf




Pengsheng Ji, University of Georgia

Collaborative Spectral Clustering in Attributed Networks

Pengsheng Ji.pdf


(S028) Statistical and Computational Genomics


Chair: Qing Zhou, UCLA Department of Statistics


Organizer: Qing Zhou, UCLA Department of Statistics


Speakers:


Wenxiu Ma, University of California Riverside

Statistical methods for high-resolution chromosome conformation data analysis

Wenxiu Ma.pdf




Hui Jiang, University of Michigan

Efficient algorithms for resampling-based hypothesis testing in genomic data analysis

Hui Jiang.pdf




Hua Zhong, NYU Langone Health

Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record and Genomics Data

Hua Zhong.pdf



Ku, Hung-Chih,DePaul University

A linear mixed model framework to study gene-environment interactions

Hung-Chih Ku.pdf



(S029) Statistical machine learning in data science


Chair: Jingyi Jessica Li, University of California, Los Angeles


Organizer: Qing Zhou, UCLA Department of Statistics


Speakers:


Ping Li, Baidu Research USA

Accurate and Efficient Machine Learning Methods

Ping Li.pdf




Hua Zhou, UCLA

Penalty Method for Variance Component Selection

Hua Zhou.pdf




Nikhyl Aragam, University of Chicago

Identifiability of nonparametric mixture models, clustering, and semi-supervised learning 

Nikhyl Aragam.pdf




Qing Zhou, UCLA Department of Statistics

Directed acyclic graphs on network data

Qing Zhou.pdf


(S030) Statistical Inference for High-dimensional Tensor Data


Chair: Zijian Guo, Rutgers University


Organizer: Anru Zhang, University of Wisconsin-Madison


Speakers:


Will Wei Sun, Purdue University

Tensor bandits for online interactive recommendation

Will Wei Sun.pdf




Xin Zhang, Florida State University

Subspace-regularized Tensorial Parameter Estimation

Xin Zhang.pdf




Anru Zhang, University of Wisconsin-Madison

High-dimensional Tensor Regression Analysis

Anru Zhang.pdf

 


(S031) Optimization Method and Theory for Big Data


Chair: Anru Zhang, University of Wisconsin-Madison


Organizer: Anru Zhang, University of Wisconsin-Madison


Speakers:


Ruoyu Sun, University of Illinois at Urbana-Champaign

Phase Transition of Landscape From Narrow to Wide Neural Networks

Ruoyu Sun.pdf




Yuxin Chen, Princeton University

Inference and Uncertainty Quantification for Noisy Matrix Completion

Yuxin Chen.pdf




Xudong Li, Fudan University

On the Equivalence of Inexact Proximal ALM and ADMM for a Class of Convex Composite Programming

Xudong Li.pdf


(S032) Recent Advances in Lifetime Data Analysis


Chair: Yong Chen, University of Pennsylvania


Organizer: Mei-Ling Ting Lee, University of Maryland


Speakers:


Shu-Hui Chang, National Taiwan University

Semiparametric regression analysis for serial gap times with competing events

Shu-Hui Chang.pdf




Catherine Huber, University Paris Descartes

High dimensional data reduction in risk and survival data analysis

Catherine HUBER.pdf




Yi Xiong, Simon Fraser University

Statistical Analysis of Event Duration with Missing Origin

Yi Xiong.pdf




Tianzhou Ma, University of Maryland School of Public Health

Variable screening with multiple studies and its application in survival analysis

Tianzhou Ma.pdf

 


(S033) Handling Complex Featured Data: Methods and Applications


Chair: Xin Liu, Shanghai University of Finance and Economics


Organizer: Grace Yi, University of Waterloo, University of Western Ontario


Speakers:


Wenqing He, University of Western Ontario

Support Vector Machine with Graphical Network Structures in Features

Wenqing He.pdf




Xiangrong Kong, Johns Hopkins University

Analysis of multivariate longitudinal data from eyes - microperimetry macular sensitivity loss in patients with Stargardt Disease

Xiangrong Kong.pdf




Yayuan Zhu, University of Western Ontario

Dynamic risk prediction of a clinical event with sparse and irregularly measured longitudinal biomarkers

Yayuan Zhu.pdf




Zhisheng Ye, National University of Singapore

Degradation in common dynamic environments

Zhisheng Ye.pdf


(S034) False discovery rate methodology


Chair: Wenguang Sun, University of Southern California


Organizer: Ruth Heller, Tel-Aviv University


Speakers:


Wenguang Sun, University of Southern California

 A Structure-Adaptive Learning Algorithm for Online False Discovery Rate Control

Wenguang Sun.pdf




Marina Bogomolov, Technion - Israel Institute of Technology

Controlling FDR while highlighting selected discoveries

Marina Bogomolov‬‏.pdf




Aaditya Ramdas, Carnegie Mellon University

Simultaneous confidence intervals in sequential estimation

Aaditya Ramdas.pdf




Yoav Benjamini, Tel Aviv University

Practical aspects of using False Discovery Rate

Yoav Benjamini.pdf

 


(S035) Multiple comparisons theory and applications


Chair: Fei Xue, University of Pennsylvania


Organizer: Ruth Heller, Tel-Aviv University


Speakers:


Jelle Goeman, Leiden University Medical Center

Closed testing and admissibility of procedures controlling false discovery proportions

Jelle Goeman.pdf




Aldo Solari, University of Milano-Bicocca

All-Resolutions Inference for Brain Imaging

Aldo Solari.pdf




Yuval Benjamini, Hebrew University of Jerusalem ISRAEL

Estimates and intervals for effect-size of detected regions (clusters) in FMRI experiments 

Yuval Benjamini(new).pdf


(S036) Advanced Topics in Survival Analysis


Chair: Yair Goldberg, Technion


Organizer: Ruth Heller, Tel-Aviv University


Speakers:


Yair Goldberg, Technion - Israel Institute of Technology

Left without being seen: The disappearance of impatient patients, combining current-status, right-censored and left-censored data

Yair Goldberg.pdf




Bin Liu, Southwestern University of Finance and Economics

Ventilation Prediction for ICU Patients with LSTM-based Deep Relative Risk Model

Bin Liu.pdf




Daniel Nevo, Tel Aviv University

Analysis of semi-competing risks data via bivariate longitudinal models

Daniel Nevo.pdf




Malka Gorfine, Tel Aviv University

Marginalized frailty-based illness-death model with application to biobank data

Malka Gorfine.pdf

 


(S037) New Analytical Solutions for Single-Cell and Functional Genomic Data


Chair: Hongkai Ji, Johns Hopkins Bloomberg School of Public Health


Organizer: Hongkai Ji, Johns Hopkins Bloomberg School of Public Health


Speakers:


Jingyi Jessica Li, UCLA

A statistical simulator scDesign for rational scRNA-seq experimental design

Jingyi Jessica Li.pdf




Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health

Single-Cell Transcriptome and Regulome Data Integration

Weiqiang Zhou.pdf




Yuchao Jiang, University of North Carolina at Chapel Hill

SCOPE: a normalization and copy number estimation method for single-cell DNA sequencing

Yuchao Jiang.pdf


(S038) Treatment Effects and Other Emerging Issues in Biomedical Data Science


Chair: Ronghui Xu, University of California


Organizer: Ronghui Xu, University of California


Speakers:


Ying Zhang, University of Nebraska Medical Center

Model-Free Causal Inference in Observational Studies

Ying Zhang.pdf




Jue Hou, Harvard T.H. Chan School of Public Health

Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates

Jue Hou.pdf




Changyu Shen, Harvard Medical School

A stochastic search approach to identify subgroups with treatment benefit or harm

Changyu Shen.pdf




Fang Liu, Merck

Optimal Design and Analysis in Phase II Basket Like Trials

Fang Liu.pdf

 


(S039) Recent Advances in Statistical Methods for Single-cell Analysis


Chair: Yuchao Jiang, University of North Carolina at Chapel Hill


Organizer: Di Wu, University of North Carolina at Chapel Hill


Speakers:


Hongkai Ji, Johns Hopkins Bloomberg School of Public Health

Statistical analysis of coupled single-cell RNA-seq and immune profiling data

Hongkai Ji.pdf




Mingyao Li, University of Pennsylvania

Gene expression imputation and clustering with batch effect removal in single-cell RNA-seq analysis by deep learning

Mingyao Li.pdf




Yun Li, University of North Carolina

SMNN: Batch Effect Correction for Single-cell RNA-seq data via Supervised Mutual Nearest Neighbor Detection

Yun Li.pdf




Zhijin Wu, Brown University

Power analysis for RNA-seq in single cells


(S040) Survival Analysis and Beyond


Chair: Ronghui Xu, University of California


Organizer: Ronghui Xu, University of California


Speakers:


Jialiang Li, National University of Singapore

Sparse Boosting for High-Dimensional Survival Data with Varying Coefficients

Jialiang Li.pdf




Zhigang Li, University of Florida

Joint modeling of quality of life and survival data in palliative care studies

Zhigang Li.pdf




Yuan Wu, Duke university

A spline-based nonparametric analysis for interval-censored bivariate survival data

Yuan Wu.pdf




Andrew Ying, University of California

Causal Effects on Birth Defects with Missing by Terathanasia

Andrew Ying(new).pdf

 


(S041) Novel Statistical Approaches to Investigate Cancer Immunotherapy


Chair: Dongjun Chung, Medical University of South Carolina


Organizer: Dongjun Chung, Medical University of South Carolina


Speakers:


Guoshuai Cai, University of South Carolina

A Transcriptome Based Nonparametric Method to Deconvolute Immune Cells and Cancer Subtypes

Guoshuai Cai.pdf




Dongjun Chung, Medical University of South Carolina

A statistical framework to investigate molecular mechanisms associated with tumor microenvironment

DONGJUN CHUNG.pdf




Yeonhee Park, Medical University of South Carolina

Phase I/II dose finding interval design for Immunotherapy

Yeonhee Park.pdf




Jin Hyun Nam, Medical University of South Carolina

Sparse LDA with Network-Guided Block Covariance Matrix

Jin Hyun Nam.pdf


(S042) Recent Advancement in Biostatistics Methodology


Chair: Chen Hu, Johns Hopkins University


Organizer: Mei-Cheng Wang, Department of Biostatistics, Johns Hopkins University


Speakers:


Rajeshwari Sundaram, Speaker Affiliation

Joint analysis of multiple longitudinal and survival data measured on nested time-scales: an application to predicting infertility

Rajeshwari Sundaram.pdf




Mei-Cheng Wang, Department of Biostatistics, Johns Hopkins University

Modeling and Correlation Estimation for Bivariate Recurrent Event Processes

Mei-Cheng Wang.pdf




Yu-Jen Cheng, National Tsing Hua University

Analysis of competing risks data with dependent truncation

Yu Jen Cheng.pdf




Zheyu Wang, JHU

Biomarker Guided Phase II Two-Stage Design for Targeted Therapy

Zheyu Wang.pdf

 


(S043) SIBS Invited Session: Recent Advancement in Biostatistics Methodology


Chair: Mei-Cheng Wang, Johns Hopkins University


Organizer: Mei-Cheng Wang, Department of Biostatistics, Johns Hopkins University


Speakers:


Xuejing Meng, 1. Simon Fraser University 2. Hubei University of Economics

Hierarchical Bayesian Spatio-Temporal Models with Application to Birds Population Spread

Xuejing Meng.pdf




Yanxun Xu, Johns Hopkins University

Inferring Longitudinal antiretroviral drugs effects on mental health in people with HIV

Yanxun Xu.pdf




Chen Hu, Johns Hopkins University

Use of Multistate Model for Multiple Endpoints in Oncology Clinical Trials Analysis and Designs

Chen Hu.pdf




Yuanshan Wu, Zhongnan University of Economics and Law

An ADMM Algorithm for Distributed Sparse Optimal Scoring Classification

Yuanshan Wu.pdf


(S044) Data science and statistics in IT companies


Chair: Lu Zhang, google


Organizer: Lu Zhang, google


Speakers:


Ying Liu, Google

Semantic clustering of YouTube videos

Ying Liu.pdf




Wanghuan Chu, Google

Comparison Studies of Multi-Armed Bandit Algorithms for Display Advertising Optimization

Wanghuan Chu.pdf




Yuxiang Xie, Snap Inc.

Inferring Impact Direction Graphs from Large Scale Online User Engagement Data

Yuxiang Xie.pdf




Lu Zhang, google

Statistics and Big data at Google

Lu Zhang.pdf



 


(S045) Recent Development in Risk Measure and Its Application


Chair: Xia Zhao, Shanghai University of International Business and Economics


Organizer: Xia Zhao, Shanghai University of International Business and Economics


Speakers:


Yi Zhang, Zhejiang University

Conditional Tail-Related Risk Estimation Using Composite Asymmetric Least Squares and Empirical Likelihood




Zisheng Ouyang, Hunan University Of Technology and Business

Measuring systemic risk contagion effect of the banking industry in China:  A directed network approach

Zisheng Ouyang.pdf




Shijie Wang, Anhui University

The finite-time ruin probability of a discrete-time risk model with subexponential and dependent insurance and financial risks

Shijie Wang.pdf




Xia Zhao, Shanghai University of International Business and Economics

Robust portfolio with multi-objective optimization model under high-dimensional scenarios

Xia Zhao.pdf


(S046) Recent method and technique developments in genomics and drug safety


Chair: Ming Wang, Pennsylvania State University


Organizer: Ming Wang, Pennsylvania State University


Speakers:


Shuo Chen, University of Maryland, School of Medicine

Group-level network inference via l_0 shrinkage and graph combinatorics

Shuo Chen.pdf




Lijun Zhang, Pennsylvania State University College of Medicine

Integrated sequencing analysis for virus detection in Human disease

Lijun Zhang.pdf




Lin Wan, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Statistical test of structured continuous trees based on discordance matrix

Lin Wan.pdf




Shouhao Zhou, The Pennsylvania State University

Bayesian Modeling of Rare Events Data with Missing Not At Random

Shouhao Zhou.pdf


(S047) Recent Advances in Analytic Methods for Sequencing and Biobank Data


Chair: Li-Xuan Qin, Memorial Sloan Kettering Cancer Center


Organizer: Li-Xuan Qin,Memorial Sloan Kettering Cancer Center


Speakers:


Yingying Wei, The Chinese University of Hong Kong

Flexible Experimental Designs for Valid Single-Cell RNA-Sequencing Experiments Allowing Batch Effects Correction

Yingying Wei(S047).pdf




Jian Zou, University of Pittsburgh

Statistical assessment of depth normalization methods for microRNA sequencing

Jian Zou.pdf




Sean Devlin, Memorial Sloan Kettering Cancer Center

Estimating the effect of covariates on the correlation between bivariate failure times

Sean Devlin.pdf




En-Yu Lai, Institute of Statistical Science, Academia Sinica

Mediation Analyses of Ultraviolet, Air Pollution, and Structural Variations using the Taiwan Biobank

En Yu Lai.pdf


(S048) Statistics decision in Drug Development


Chair: Lian Liu, Organizer Affiliation


Organizer: Lian Liu, Organizer Affiliation


Speakers:


Xiaolei Xun, Fudan University

A decision-theoretic framework for multiple testing controlling the familywise expected loss 

Xiaolei Xun.pdf




Julie Ma, Gilead Sciences, Inc

Sample Size Determination Concerning Decision Making in Clinical Trials - Two Case Studies

Julie Ma.pdf




Wenxin Liu, Roche China

Gating criteria using Bayesian approach in early phase study

Wenxin Liu.pdf




Xikun Wu, BeiGene

Quantitative decision making in preclinical drug discovery

Xikun Wu.pdf



(S049) Utilization of Big Data in Precision Medicine


Chair: Zhengjia Chen, Emory University


Organizer: Zhengjia Chen, Emory University


Speakers:


J. Richard Landis, University of Pennsylvania

Subgroup Discovery Using Consensus Clustering Methods

J. Richard Landis.pdf




Qi Long, University of Pennsylvania

Integrative Analysis of Multi-Omic Data via Sparse Multiple Co-Inertia Analysis

Qi Long.pdf




Ming Wang, Pennsylvania State University

An Unified Framework of Personalized Network Recovery and Detection

Ming Wang.pdf




Zhengjia Chen, Emory University

Estimation of personalized maximum tolerated dose (pMTD) by incorporation of patient’s genomic profiles and all toxicity information in cancer Phase I clinical trial

Zhengjia Chen.pdf


(S050) Novel Statistical Methods for Big Health Data


Chair: Zhengjia Chen, Emory University


Organizer: Zhengjia Chen, Emory University


Speakers:


Bin Cheng, Columbia University

Clustering of Multivariate Data with Varying Dimensions

Bin Cheng.pdf




Ruitao Lin, The University of Texas MD Anderson Cancer Center

An Adaptive Trial Design to Optimize Dose--Schedule Regimes with Delayed Outcomes

RUITAO LIN.pdf




Yanming Li, University of Michigan

Prediction of Alzheimer’s disease by integrating local brain-network connectome

Yanming Li.pdf

 


(S051) New Methodology for the Analysis of Neuroimaging Data


Chair: Todd Ogden, Columbia University


Organizer: Todd Ogden, Columbia University


Speakers:


Bei Jiang, University of Alberta

A Bayesian approach to joint modeling of matrix-valued imaging data and treatment outcome]{A Bayesian Approach to Joint Modeling of Matrix-valued Imaging Data and Treatment Outcome with Applications to Depression Studies

Bei Jiang.pdf




Fengqing (Zoe) Zhang, Drexel University

Improved prediction of brain age using multimodal neuroimaging data

Fengqing (Zoe) Zhang.pdf




Shan Yu, Iowa State University

Multivariate Spline Estimation and Inference for Image-on-scalar Regression

Shan Yu.pdf




Xi Luo, University of Texas Health Science Center at Houston

Covariate Assisted Principal Regression for Covariance Matrix Outcomes with an Application to fMRI

Xi Luo.pdf


(S052) Recent development of Gaussian approximation and its applications


Chair: Jinyuan Chang, Southwestern University of Finance and Economics


Organizer: Jinyuan Chang, Southwestern University of Finance and Economics


Speakers:


Xiaohui Chen, University of Illinois at Urbana

Randomized incomplete U-statistics in high dimensions

Xiaohui Chen.pdf




Guanghui Cheng, Guangzhou Univerisity

A Power One Test for Unit Roots Based on Sample Autocovariances

Guanghui Cheng.pdf




Yuta Koike, University of Tokyo

Asymptotic mixed normality of realized covariance in high-dimensions

Yuta Koike.pdf




Jinyuan Chang, Southwestern University of Finance and Economics

A Power One Test for Unit Roots Based on Sample Autocovariances

Jinyuan Chang.pdf

 


(S053) New Advances in High-Dimensional Data Analysis


Chair: Rongmao Zhang, Zhejiang University


Organizer: Rongmao Zhang, Zhejiang University


Speakers:


Deyuan Li, Fudan University

Extreme Quantile Estimation for Single Index Model

Deyuan Li.pdf




Yundong Tu, Peking University

Quantiles, Expectiles and Jackknife Model Averaging in Ultra-High Dimensional Regressions

Yundong Tu.pdf




Yaxing Yang, Xiamen University

Testing Serial Correlation and ARCH Effect of High-Dimensional Time-Series Data

Yaxing Yang.pdf




Kun Chen, Southwestern University Of Finance And Economics

Targeted integrative learning with applications in suicide risk prediction 

Kun Chen.pdf


(S054) Statistical methodologies in clinical trials


Chair: Bingzhi Zhang, Sanofi


Organizer: Hui Quan, Sanofi


Speakers:


Yijie Zhou, Vertex Pharmaceuticals

Efficient Sample Size Adaptation Strategy With Adjustment Of Randomization Ratio

Yijie Zhou.pdf




Bo Yang, Vertex

Optimal adaptive group sequential design with flexible timing of sample size determination




Bingzhi Zhang, Sanofi

Historical data borrowing from multiple historical trials with commensurate prior

Bingzhi Zhang.pdf




Ming Tan, Georgetown University

Utilization of Robust Estimates of treatment Effect via Semi-Parametric Models in MRCT

Ming Tan.pdf

 


(S055) Random Matrices Theory and Applications


Chair: Yuxin Chen, Princeton University


Organizer: Harrison Zhou, Yale University


Speakers:


Zhou Fan, Yale University

Spectral graph matching and regularized quadratic relaxations

Zhou Fan.pdf




Leying Guan, Yale University

Conformal prediction with localization

Leying Guan.pdf




Anderson Zhang, The Wharton School, University of Pennsylvania

Optimality of Spectral Clustering for Gaussian Mixture Model

Anderson Ye Zhang.pdf




Kyoung Hee Arlene Kim, Korea University

Adaptation in multivariate log-concave density estimation

Kyoung Hee Arlene Kim.pdf


(S056) Recent Advances on the Analysis of Failure Time Data


Chair: Hui Zhao, Zhongnan University of Economics and Law


Organizer:Jianguo Sun, University of Missouri


Speakers:


Xingqiu Zhao, The Hong Kong Polytechnic University

Penalized Generalized Empirical Likelihood with a Diverging Number of General Estimating Equations for Censored Data

Xingqiu Zhao.pdf




Chunjie Wang, Changchun University of Technology

Empirical likelihood for additive hazards regression model with case II interval censored failure time data

Chunjie Wang.pdf




Shuying Wang, Changchun University of Technology

Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data 

Shuying Wang.pdf




Mingyue Du, Jilin University

Regression Analysis of Case-cohort Studies in the Presence of Dependent Interval Censoring

MINGYUE DU.pdf

 


(S057) Statistical Analysis of Complex Data


Chair: Xingqiu Zhao, The Hong Kong Polytechnic University


Organizer: Jianguo Sun, University of Missouri


Speakers:


Hui Zhao, Zhongnan University of Economics and Law

Simultaneous estimation and variable selection for Interval-Censored Data with Broken Adaptive Ridge Regression

Hui Zhao.pdf




Huiqiong Li, Yunnan University

A Vine Copula Approach for Regression Analysis of  Bivariate Current Status Data with Informative Censoring

Huiqiong Li.pdf




Ran Duan, Eli Lilly and Company

Personalized Glucose Prediction Using Attention-based RNN

Ran Duan.pdf




Da Xu, Center for Applied Statistical Research, School of Mathematics, Jilin University

Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model

Da Xu.pdf


(S058) Limit Theorems of Random Fields and Related Topics


Chair: Zhonggen Su, Zhejiang University


Organizer: Wensheng Wang, Hangzhou Dianzi University


Speakers:


Yimin Xiao, Michigan State Univeristy

Some recent results on multivariate Gaussian random fields

Yimin Xiao.pdf




Fangjun Xu, East China Normal University

Derivatives of local times for some Gaussian fields

Fangjun Xu.pdf




Yuqiang Li, School of statistics, East China Normal University

Probabilities of deviations for record numbers in random walks

Yuqiang Li.pdf




Wensheng Wang, Hangzhou Dianzi University 

The moduli of non-differentiability for Gaussian random fields with

stationary increments 

Wensheng Wang.pdf

 


(S059) Estimation from imperfectly observed data


Chair: Ronghui Xu, University of California


Organizer: Aurore Delaigle, University of Melbourne


Speakers:


Ronghui Xu, University of California

Learning from EMR/EHR data to estimate treatment effects using high dimensional claims codes

Ronghui Xu.pdf




Liqun Wang, University of Manitoba

Variable selection and estimation in generalized linear models with measurement error

Liqun Wang.pdf




Wei Huang, University of Melbourne

Estimating the covariance of fragmented functional data

Wei Huang.pdf




Zhendong Huang, School of Mathematics and Statistics, The University of Melbourne

Density Estimation of Usual Intake for  Food Consumption Data

Zhendong Huang.pdf


(S060) New approaches and modifications to modern computations


Chair: Yuichi Mori, Okayama University of Science


Organizer: Yuichi Mori, Okayama University of Science


Speakers:


Yingcun Xia, National University of Singapore

Ensemble Classification via Sufficient Dimension Reduction

Yingcun Xia.pdf




Hiroyasu Abe, Kyoto University

Zero-inflated negative-binomial NMF

Hiroyasu Abe.pdf




Johan Lim, Seoul National University

Fixed support positive-definite modification of covariance matrix  estimators via linear shrinkage

Johan Lim.pdf




Sheng-Hsuan Lin, National Chiao-Tung University, Institute of Statistics

Generalized interventional approach for causal mediation analysis with causally ordered multiple mediators

Sheng-Hsuan Lin.pdf

 


(S061) Advanced statistical modeling for complex data


Chair: Ying Chen, University of Washington


Organizer: Ying Chen, University of Washington


Speakers:


Jia Guo, Zhejiang University of Technology

New Tests for Equality of Several Covariance Functions for Functional Data

Jia Guo.pdf




Tao Yu, National University of Singapore

Pairwise-rank-likelihood methods for the semiparametric transformation model

Tao Yu.pdf




Xiaofei Xu, National University Of Singapore

Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts

Xiaofei Xu.pdf




Wanjie Wang, National University of Signapore

Community Detection on Social Network with Complex Attributes

Wanjie Wang.pdf


(S062) Some developments on semiparametric regression models and panel data


Chair: Yang Bai, Chair Affiliation


Organizer: Guoyou Qin, Fudan University


Speakers:


Wing Kam Fung, The University of Hong Kong

Powerful Tests for Parent-of-Origin Effects at Quantitative Trait Loci on the X Chromosome

Wing Kam Fung.pdf




Yang Bai, Shanghai University of Finance and Econimics

Subgroup Analysis of Linear Model With Measurement Error

Yang Bai.pdf




Yong He, Shandong University of Finance and Economics

High-dimensional expectile regression with a possible change  point

YONG HE.pdf

 


(S063) Recent advances in Bayesian analysis of complex data


Chair: Xin Tong, National University of Singapore


Organizer: Wanjie Wang, National University of Signapore


Speakers:


Cheng Li, National University of Singapore

Distributed Bayesian Inference for Varying Coefficient Spatiotemporal Models

Cheng Li.pdf




Shuai Lu, Fudan University

Data assimilation from a viewpoint of regularization theory

Shuai Lu.pdf




 Xin Tong, National University of Singapore

Exploiting sparse conditional structure in MALA-within-Gibbs

Xin Tong.pdf




Qiang Liu, National University of Singapore

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Qiang Liu.pdf


(S064) New methods of testing and classification in complex data


Chair: Wanjie Wang, National University of Singapore


Organizer: Wanjie Wang, National University of Singapore


Speakers:


Xiufan Yu, Pennsylvania State University

Innovated power enhancement for testing multi-factor pricing models with a large number of assets

Xiufan Yu.pdf




Hongyuan Cao, Florida State University

Topics on multiple testing

Hongyuan Cao.pdf




Xiaodong Li, UC Davis

Hierarchical Community Detection with Fiedler Vectors

Xiaodong Li.pdf




Zhigang Yao, National University of Singapore

Principal Boundary on Riemannian Manifolds and Classification Problem

Zhigang Yao.pdf

 


(S065) Recent Advances in Statistical Theories and Applications


Chair: Yin Xia , Fudan University


Organizer: Yin Xia, Fudan University


Speakers:


Qiwei Yao, London School of Economics

Estimation for Double-Nonlinear Cointegration

Qiwei Yao.pdf




Richard Samworth, University of Cambridge

High-dimensional log-concave density estimation 

Richard Samworth.pdf




Ji Zhu, University of Michigan

Generative Link Prediction for Incomplete Networks with Node Features

Ji Zhu.pdf




Xiangrong Yin, University of Kentucky

Fourier Transform Approach for Inverse Dimension Reduction Method

Xiangrong Yin.pdf


(S066) Recent Advances in Statistical Learning


Chair: Yin Xia, Fudan University


Organizer: Yin Xia, Fudan University


Speakers:


Feifang Hu, George Washington University

Adaptive Design of Network A/B tests

Feifang Hu.pdf




Peter Song, University of Michigan

Support vector machine in construction of personal treatment rules

Peter Song.pdf




Sijian Wang, Rutgers University

Random projection pursuit regression for high-dimensional complex data

Sijian Wang.pdf




Zhao Chen, Fudan University 

Ultrahigh Dimensional Precision Matrix Estimation via Refitted Cross Validation

Zhao Chen.pdf

 


(S067) High dimensional statistical inference


Chair: Yin Xia, Fudan University


Organizer: Shurong Zheng,Northeastern Normal University


Speakers:


Hongnan Wang, University of Illinois at Chicago

Inter-subject correlation analysis with fMRI data

Hongnan Wang.pdf




Yin Xia, Fudan University

Individual Data Protected Integrative Regression Analysis of High-dimensional Heterogeneous Data

Yin Xia.pdf




Changcheng Li, Penn State University

Focused Generalized Method of Moments for High-Dimensional Causal Structural Learning

Changcheng Li.pdf




(S068) Large dimensional random matrix theory and its applications


Chair: Cheng Wang, Shanghai Jiao Tong University


Organizer: Shurong Zheng, Northeast Normal University


Speakers:


Cheng Wang, Shanghai Jiao Tong University

Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression

Cheng Wang.pdf




Jiang Hu, Northeast Normal University

Beta matrix and testing the equality of two high dimensional covariance matrices

Jiang Hu.pdf




Dandan Jiang, Xi'an Jiaotong University

The limits of the distant sample spikes for a high-dimensional generalized Fisher matrix and its applications

Dandan Jiang.pdf




Yan Liu, School of Mathematics and Statistics, Northeast Normal University

Community Detection Based on the $L_infty$ convergence of eigenvectors in DCBM

Yan Liu.pdf

 


(S070) Recent advances on precision medicine and biomarker research


Chair: Yingqi Zhao, Fred Hutchinson Cancer Research Center


Organizer: Yingqi Zhao, Fred Hutchinson Cancer Research Center


Speakers:


Min Qian, Columbia University

Constructing personalized decision algorithm for mHealth applications

Min Qian.pdf




Yingqi Zhao, Fred Hutchinson Cancer Research Center

Improved doubly robust estimation in learning optimal individualized treatment rules

Yingqi Zhao.pdf




Shuai Chen, University of California

Optimizing personalized intervention from the aspect of health economics

Shuai Chen.pdf




Yuanjia Wang, Columbia University

Learning Individualized Treatment Rules from Electronic Health Records

Yuanjia Wang.pdf

 


(S071) New Advances of Adaptive Data Collection


Chair: Feifang Hu, George Washington University


Organizer: Feifang Hu, George Washington University


Speakers:


Wei Ma, Renmin University of China

Statistical Inference for Covariate-Adaptive Randomization Procedures

Wei Ma.pdf




William Rosenberger, George Mason University

Randomization-Based Inference Following Randomized Clinical Trials

William Rosenberger.pdf




Lucy Xia, The Hong Kong University of Science and Technology

Neyman-Pearson classification: parametrics and sample size requirement

Lucy Xia.pdf




Siu Hung Cheung, Southern University of Science and Technology

Response-adaptive design for clinical trials with recurrent events data

Siu Hung CHEUNG.pdf


(S072) Measuring and testing nonlinear dependence


Chair: Liping Zhu, Renmin University of China


Organizer: Liping Zhu, Renmin University of China


Speakers:


Yeqing Zhou, Tongji University

Test for conditional independence with application to conditional screening

Yeqing Zhou.pdf




Xianyang Zhang, Texas A&M University

A New Framework for Distance and Kernel-based Metrics in High Dimensions

Xianyang Zhang.pdf




Xueqin Wang, Sun Yat-sen University

Ball Covariance

Xueqin Wang.pdf




Tingyou Zhou, Zhejiang University of Finance & Economics

Testing the Linear Mean and Constant Variance Conditions in Sufficient Dimension Reduction

Tingyou Zhou.pdf

 


(S073) New developments in statistical methods and inference


Chair: Mengyun Wu, Shanghai University of Finance and Economics


Organizer: Shuangge Ma, Yale University


Speakers:


Xia Cui, Guangzhou University

Estimating equation methods for longitudinal studies when drop-outs depend on outcome and uncensored observation process 

Xia Cui.pdf




Xiaobo Guo, Department of Statistical Science, School of Mathematics, Sun Yat-Sen University

Statistical Modeling in Non-invasive prenatal screening

Xiaobo Guo.pdf




Yang Li, Renmin University of China

Model Confidence Bounds for Variable Selection

Yang Li.pdf




Xu Liu, Shanghai University of Finance and Economics

Testing of covariate effects under ridge regression for high-dimensional data

Xu Liu.pdf




Wensheng Zhu, Northeast Normal University

Bayesian Variable Selection for Linear Regression with Interaction Terms

Wensheng Zhu.pdf


(S074) New Modeling Methods for Time Series of Analysis


Chair: Dehui Wang, Chair Affiliation


Organizer: Dehui Wang, Organizer Affiliation


Speakers:


Fukang Zhu, Jilin University

Flexible bivariate Poisson integer-valued GARCH model

Fukang Zhu.pdf




Cong Li, Jilin University

Detecting mean increases in zero truncated INAR(1) processes

Cong Li.pdf




Kai Yang, Changchun University of Technology

Random coefficients self-exciting threshold integer-valued autoregressive processes driven by logistic regression

Kai Yang.pdf




Mengya Liu, Jilin University 

Threshold negative binomial autoregressive model

Mengya Liu.pdf

 


(S075) Massive regression analysis


Chair: Binhuan Wang, NYU School of Medicine


Organizer: Huazhen Lin, Southwestern University of Finance and Economics


Speakers:


Binhuan Wang, NYU School of Medicine

Additive partially linear models for massive heterogeneous data 

Binhuan Wang.pdf




Xinbing Kong, Nanjing Audit University

Discrepancy between global and local principal component analysis on large-panel high-frequency data

Xinbing Kong.pdf




Bin Guo, Southwestern University of Finance and Economics

Spatial-Temporal Prediction of PM2.5 concentration in North China Plain Using the Machine Learning

Bin Guo.pdf




Ye He, University of Electronic Science and Technology of China

Identifying sensitive  subset based on ultra-high dimensional correlated covariates for survival data

Ye He.pdf


(S076) Special Invited Session -DiDi Session- Statistical Challenges and Opportunities in Ride-sharing Platform


Chair: Hongtu Zhu, DiDi


Organizer: Hongtu Zhu, DiDi


Speakers:


Hongtu Zhu, Chief Scientist of Statistics at DiDi, UNC Chapel Hill

Challenges in Analyzing Two-sided Market and Its Application on Ride-sourcing Platform

Hongtu Zhu.pdf




Ziyao Gao (Jeremy), Senior Data Scientist at DiDi

Marry Data and AI with SQLFlow

Ziyao Gao.pdf




Liang Shi, Research Assistant at Virginia Tech Transportation Institute

Driving Risk Assessment for Ride-hailing Drivers

Liang Shi.pdf



 


(S077) Robust and efficient modern regression in high dimensional and complex data


Chair: Xiaodong Li, UC Davis


Organizer: Haochang Shou, University of Pennsylvania


Co-Organizer: Wanjie Wang, National University of Signapore


Speakers:


Zhenhua Lin ,National University of Singapore

Total Variation Regularized Frechet Regression for Metric-Space Valued Data

Zhenhua Lin.pdf




Yingying Wei, The Chinese University of Hong Kong

Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies

Yingying Wei(s077).pdf




Tao Yu, National University of Singapore

Pairwise-rank-likelihood methods for the semiparametric transformation model

Tao Yu.pdf




(S078) Joint Modeling and Classification Models for Complex Biomedical Data


Chair: Wendy Lou, University of Toronto


Organizer: Wendy Lou, University of Toronto


Co-Organizer: Daniel Jeske, University of California


Speakers:


Esra Kurum, University of California

Multilevel joint modeling of hospitalization and survival in patients on dialysis

Esra Kurum.pdf




Daniel Jeske, University of California

Construction, Visualization and Application of Neutral Zone Classifiers

Daniel Jeske.pdf




Yi Ting Hwang, National Taipei University

Misspecification of a dependent variable in the logistic model controlling for the repeated longitudinal measures

Yi-Ting Hwang.pdf




Wendy Lou, University of Toronto

Joint Trajectories with Variable Selection

Wendy Lou.pdf

 


(S079) Statistical Advancements for Emerging Challenges in Health Data Science


Chair: Wendy Lou, University of Toronto


Organizer: Wendy Lou, University of Toronto


Co-Organizer: Pingzhao Hu, University of Manitoba


Speakers:


Xinping Cui, Department of Statistics, University of California

Identifying the Best Predictive SNP in GWAS for Companion Diagnostics

Xinping Cui.pdf




Jian Zhang, University of Kent

Statistical approaches for identifying biomarkers for a group of cancer drugs

Jian Zhang.pdf




Shihua Zhang, Academy of Mathematics and Systems Biology,CAS

Computational methods to elucidate chromatin topological structure using 3D genomic maps

Shihua Zhang.pd




Pingzhao Hu, University of Manitoba

Deep learning for decoding molecular phenotypes with radiogenomics in breast cancer

Pingzhao Hu.pdf


(S080) Matrix Estimation and Matrix regression


Chair: Xingdong Feng, Shanghai University of Finance and Economics


Organizer: Huazhen Lin, Southwestern University of Finance and Economics


Speakers:


Xingdong Feng, Shanghai University of Finance and Economics

Estimation of error variance via ridge regression

Xingdong Feng.pdf




Lei Huang, Southwest Jiaotong University

Nonparametric Regression with a Randomly Censored Independent Variable

Lei Huang.pdf




Wei Lan, Southwest University of Finance and Economic

Influence Matrix Analysis

Wei Lan.pdf




Jiakun Jiang, Tsinghua University

Supervised cluster analysis of non-Gaussian functional data

Jiakun Jiang.pdf

 


(S081) Design and Analysis for Complex Medical Studies 


Chair: Haiyan Zheng, Newcastle University


Organizer: Yiyi Chen, Oregon Health & Science University


Speakers:


Timothy OBrien, Loyola University Chicago

Robust Design Approaches in Biomedical Research

Timothy O'Brien.pdf




Meike Niederhausen, Oregon Health & Science University

Analyzing longitudinal activity data collected from wearable devices

Meike Niederhausen.pdf




Eva Hua,Novartis (Shanghai)

A case study of refining testing strategy using graphical approach

Eva Hua.pdf




An-Min Tang, Yunnan University

Bayesian single-index joint models of multivariate longitudinal and survival data

An-Min Tang.pdf




(S082) Complex Innovative Designs in Practice of Early Phase Drug Development


Chair: Yuan Ji, The University of Chicago


Organizer: Sue-Jane Wang, Office of Translational Sciences


Speakers:


Jun Yin, Mayo Clinic

Model-based Phase I Designs with Incorporation of Individualized Dosing Using Toxicity Scores from Multiple Treatment Cycles

Jun Yin.pdf




·Xiang Guo, BeiGene

Innovative trials for early oncology drug development in China: opportunities& challenges




Daniel Li, Juno Therapeutics

Rolling dose-finding designs




Yuan Ji, The University of Chicago

A New Bayesian Framework for Master Protocols with Type I Error Control

Yuan Ji.pdf

 


(S083) Novel Complex Data Analysis Methods


Chair: Yang Li, Renmin University of China


Organizer: Shuangge Ma, Yale University


Speakers:


Hui Huang, Sun Yat-sen University

Regionalization of PM2.5 in Jing-Jin-Ji Area Using Convex Clustering

Hui Huang.pdf




Zhonghua Liu, The University of Hong Kong

Genome-wide Association Testing for Pleiotropic Effects using GWAS Summary Statistics

Zhonghua Liu.pdf




Yujie Zhong, School of Statistics and Management, Shanghai University of Finance and Economics

Selection models for the efficient design of family studies

Yujie Zhong.pdf




Fangfang Bai, University of International Business and Economics

Semiparametric Varying-coefficient Study of Mean Residual Life Models with right-censored and length-biased data

Fangfang Bai.pdf


(S084) Statistical Methods for Large-Scale Networks


Chair: Junwei Lu, Harvard University


Organizer: Junwei Lu, Harvard University


Speakers:


Yang Ning, Cornell University

Nonregular and Minimax Estimation of Individualized Thresholds in High dimension with Binary Responses

Yang Ning.pdf




Mladen Kolar, University of Chicago

Machine Learning Methods For Estimation and Inference in Differential Networks

Mladen Kolar.pdf




Junwei Lu, Harvard University

Network Clustering Hypothesis Testing

Junwei Lu.pdf




Xuefei Zhang, University of Michigan

Estimating Joint Latent Space Models for Network Data with High-Dimensional Node Variables

Xuefei Zhang.pdf

 


(S085) Leadership and Innovation in Drug Development Through Quantitative Research


Chair: Raji Swamy, Janssen China


Organizer: Wei Shen, Eli Lilly and Company                    


Co-Organizer: Guohua (James) Pan, Janssen Research & Development


Motivation: Statisticians in the pharmaceutical industry play an important role in promoting innovations in drug development across all phases, including discovery, early development, late development, and post-marketing.  In this panel session, champions of innovation from different drug companies will share their visions and strategies for building strong infrastructure and organizations to advance and promote innovations in statistics and data science, as well as their views on key capabilities and competences needed to lead innovations for drug development.  

Panelists:


Xiaoni Liu, Novartis




Haoda Fu, Eli Lilly and Company




Jianing Di, Janssen Research & Development



Ping Yan, Jiangsu Hengrui Medicine




Tony (Xiang) Guo, BeiGene


(S086) Real World Data and Evidence for Health Care Decision Making


Chair: Zhong Yuan, Janssen Research & Development


Organizer: Wei Shen, Eli Lilly and Company


Co-Organizer: Guohua (James) Pan, Janssen Research & Development


Speakers:


Haoda Fu, Eli Lilly and Company

Precision Health, Real World Data, and Artificial Intelligence Algorithms

Haoda Fu.pdf




Jie Chen, Merck Research Laboratory

Real world data, machine learning and causal inference

Jie Chen.pdf




Zhong Yuan, Janssen Research & Development

Propensity Score Method to Adjust for Confounding in Observational Research: Progression, Challenges, and Opportunities

Zhong Yuan.pdf




Jiawei Wei, Novartis

Multistate modeling and simulation of patient trajectories after allogeneic hematopoietic stem cell transplantation to inform drug development

Jiawei Wei.pdf

 


(S087) Innovative study designs and analyses for early-phase clinical trials


Chair: Yunda Huang, Fred Hutch


Organizer: Xiwu Lin, Johnson & Johnson


Co-Organizer: Yunda Huang, Co-Organizer Affiliation


Speakers:


Youyi Fong, University of Washington, Department of Biostatistics

The paradox of increasing sample size and decreasing power in testing the difference between two independent binomial proportions

Youyi Fong.pdf




Jun Dong, Amgen Biopharmaceutical R&D (Shanghai) Co., Ltd.

Registration Enabling Seamless Phase 1/2 Oncology Trial Design

Jun Dong.pdf




Li Li, R&G Pharma

Review and Examples of Master Protocols

Li Li.pdf




Yunda Huang, Fred Hutchinson Cancer Research Center 

※Discussant


(S088) Statistical Methods for Genomic and Transcriptomic Data Analysis


Chair: Wei Sun, Fred Hutch


Organizer: Wei Sun, Fred Hutch


Speakers:


Chi Song, The Ohio State University

Detecting Dense and Sparse Signals in Omics Studies

Chi Song.pdf




Tianwei Yu, Emory University

Dynamic Correlation Analysis for Omics Data

Tianwei Yu.pdf




Lin Hou, Tsinghua University

Statistical model for background mutation rate in cancer genomes

Lin Hou.pdf




Ruibin Xi, Peking University

scRMD: Imputation for single cell RNA-seq data via robust matrix decomposition

Ruibin Xi.pdf

 


(S089) Dimension reduction with applications


Chair: Henry Horng-Shing Lu, NCTU


Organizer: Henry Horng-Shing Lu, NCTU


Speakers:


Su-Yun Huang, Academia Sinica

Sufficient dimension reduction via random-partitions for the large-p-small-n problem

Su-Yun Huang.pdf




Ting-Li Chen, Academia Sinica

Robust linear discriminant analysis based on gamma-divergence

Ting-Li Chen.pdf




Heng-Hui Lue, Tunghai University

An adaptive clustering for curve data

Heng-Hui Lue.pdf




Henry Horng-Shing Lu, NCTU

Online Learning for Multiclass Classification with Applications

Henry Horng-Shing Lu.pdf


(S090) Advances in survival analysis in the era of data science


Chair: Yen-Tsung Huang, Academia Sinica


Organizer: Yen-Tsung Huang, Academia Sinica


Speakers:


Weijing Wang, National Chiao Tung U

Survival Analysis of Two-Level Hierarchical Clustered Data

Weijing Wang.pdf




Chyong-Mei Chen, National Yang-Ming University 

Semiparametric regression analysis for length-biased and interval-censored data with a cure fraction

Chyong-Mei Chen.pdf




Yi-Hau Chen, Academia Sinica

Semiparametric copula-based analysis for treatment effects in the presence of treatment switching

Yi-Hau Chen.pdf




Yen-Tsung Huang, Academia Sinica

A nonparametric approach to semi-competing risks via causal mediation modeling

Yen-Tsung Huang.pdf

 


(S092) Dynamic Design of Optimal Treatment Regimes


Chair: Yichi Zhang, University of Rhode Island


Organizer: Shizhe Chen, University of California


Speakers:


Yichi Zhang, University of Rhode Island

Optimal dynamic treatment regimes using decision lists

Yichi Zhang.pdf




Yinghao Pan, University of North Carolina at Charlotte

Improved doubly robust estimation in learning optimal individualized treatment rules

Yinghao Pan.pdf




Chengchun Shi, NC State University

Subagging for Inference of the Mean Outcome Under Optimal Treatment Regimes

Chengchun Shi.pdf




Shizhe Chen, University of California

Online experiment design for mapping large-scale neural circuits

Shizhe Chen.pdf

 


 


(S094) Statistical Methods in Complex Data Analysis


Chair: Jianxin Yin, Renmin University of China


Organizer: Jianxin Yin, Renmin University of China


Speakers:


Wen Zhou, Colorado State University

A maximum average power test for large scale time-course data of counts with applications to RNA-Seq analysis.

Wen Zhou.pdf




Shiyuan He, Renmin University of China

Distributed Dual Averaging Variational Inference

Shiyuan He.pdf




Xiangyu Luo, Renmin University of China

A nonparametric Bayesian approach to simultaneous subject and cell heterogeneity discovery for single cell RNA-seq data

Xiangyu Luo.pdf




Kejun He, Renmin University of China

Broadcasted Nonparametric Tensor Regression

Kejun He.pdf

 


(S095) Nonparametric or semiparametric inference on complicated data


Chair: Niansheng Tang, Yunnan University


Organizer: Niansheng Tang, Yunnan University


Speakers:


Jingheng Cai, Sun Yat-sen University

Bayesian Analysis of Semiparametric Hidden Markov Models with Latent Variables

Jingheng Cai.pdf




Xiaodong Yan, Shandong University

Penalized generalized empirical likelihood with a diverging number of general estimating equations for censored data

Xiaodong Yan.pdf




Niansheng Tang, Yunnan University

A Model-averaging method for high-dimensional regression with missing responses at random

Niansheng Tang.pdf


(S096) Statistical inference on missing or censored data


Chair: Guoyou Qin, Fudan University


Organizer: Niansheng Tang, Yunnan University


Speakers:


Yanlin Tang, East China Normal University

Copula-based semiparametric analysis for time series data with detection limits

Yanlin Tang.pdf




Guoyou Qin, Fudan University

Multiply Robust Subgroup Identification for Longitudinal Data with Dropouts

Guoyou Qin.pdf




Puying Zhao, Yunnan University

Bayesian Generalized Method of Moments Analysis for Complex Surveys

Puying Zhao.pdf




·Huiqiong Li, Yunnan University

A Vine Copula Approach for Regression Analysis of  Bivariate Current Status Data with Informative Censoring

Huiqiong Li.pdf

 


(S097) Recent Development on Missing Data Issues under Estimand Framework


Chair: Xiaoni Liu, Novartis


Organizer: Jiawei Wei, Novartis


Speakers:


Geert Molenberghs, I-BioStat, Hasselt University & KU Leuven

Estimands, Missing Data, and Sensitivity Analysis

Geert Molenberghs.pdf




Jun Shao, East China Normal University

Cox Regression with Survival-Dependent Missing Covariate Values

Jun Shao.pdf




Aileen Zhu, China Novartis Institutes for BioMedical Research  Co., Ltd.

The Challenges of Analyzing Drug Safety Data with Competing Risk Events and Some Thoughts

Qi Zhu.pdf




Tzy-Chy Lin, Center for Drug Evaluation

Mixture of multivariate t linear Mixed Models With Missing Information

Tzy-Chy Lin.pdf




Jun Wang, CFDA

※Discussant


(S098) Advances in sufficient dimension reduction and its applications


Chair: Wei Luo, Zhejiang University


Organizer: Wei Luo, Zhejiang University


Speakers:


Xuerong Wen, Missouri University of Science and Technology

A Model‐free Conditional Screening Approach via Sufficient Dimension Reduction 

Meggie Wen.pdf




Wenbo Wu, University of Texas at San Antonio

Simultaneous estimation for semi-parametric multi-index models

Wenbo Wu.pdf




Yeying Zhu, University of Waterloo

Matching Using Sufficient Dimension Reduction for Causal Inference

Yeying Zhu.pdf

 


(S099) Recent Advance in Bayesian Data Science


Chair: HaiYing Wang, University of Connecticut


Organizer: Ming-Hui Chen, University of Connecticut


Speakers:


Dipak Dey, University of Connecticut

Bayesian Variable Selection with Application to High Dimensional  EEG Data

Dipak Dey.pdf




Lei Cao, Changchun University of Technology

Registration Enabling Seamless Phase 1/2 Oncology Trial Design

Lei Cao.pdf




Zhihua Ma, Shenzhen University

Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications

Zhihua Ma.pdf




Ming-Hui Chen, University of Connecticut

Bayesian Meta-Regression Hierarchical Models for Cholesterol Data

Ming-Hui Chen.pdf


(S100) New Advances on Statistical Modeling of Complex Data


Chair: Dipak Dey, University of Connecticut


Organizer: Victor Hugo Lachos Davila, University of Connecticut


Speakers:


Tsung I-Lin, National Chung Hsing University

Mixtures of factor analysis models with covariates for multiply censored dependent data

TSUNG-I LIN.pdf




Wan-Lun Wang, Feng Chia University

Analysis of Multivariate Longitudinal Data with Censored and Intermittent Missing Responses

WAN-LUN WANG.pdf




Mauricio Castro, Pontificia Universidad Catolica de Chile

Bayesian Analysis of Survival Data with Missing Censoring Indicators

Mauricio Castro.pdf




Victor Hugo Lachos Davila, University of Connecticut

Likelihood-based Inference for Mixed-Effects Models with Censored Response Using Skew-Normal Distribution

Victor Hugo Lachos Davila.pdf

 


(S101) New Advance in Bayesian Approach for Complex Data


Chair: Chenglong Ye, University of Kentucky


Organizer: Guanyu Hu, University of Connecticut


Speakers:


Yue Zhang, Shanghai Jiao Tong University

A score-based two-stage Bayesian network method for detecting causal SNPs

Yue Zhang.pdf




Xuan Cao, University of Cincinnati

High-dimensional posterior consistency for hierarchical non-local priors in regression

Xuan Cao.pdf




Jieying Jiao, University of Connecticut

Bayesian Spatially Dynamic Variable Selection for Spatial Point Process

Jieying Jiao.pdf




Guanyu Hu, University of Connecticut

Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data

Guanyu Hu.pdf


(S102) Structure and correlation analysis


Chair: Xueqin Wang, Sun Yat-sen University


Organizer: Xueqin Wang, Sun Yat-sen University


Speakers:


Yaowu Zhang, Shanghai University of Finance and Economics

A Consistent Independence Test via Projected Mutual Information

Yaowu Zhang.pdf




Wei Zhong, Xiamen University

Test of Independence via Categorically Weighted Distance Correlation

Wei Zhong.pdf




Canhong Wen, University of Science and Technology of China

Best Subset Selection in Linear, Logistic and CoxPH Models

Canhong Wen.pdf



 


(S103) Selective Inference and Multiple Comparisons


Chair: Hidetoshi Shimodaira, Kyoto University / RIKEN AIP


Organizer: Hidetoshi Shimodaira, Kyoto University / RIKEN AIP


Speakers:


Ichiro Takeuchi, Nagoya Institute of Technology / RIKEN AIP

Selective Inference after Unsupervised Hidden-Structure Identification

Ichiro Takeuchi.pdf




Satoshi Kuriki, The Institute of Statistical Mathematics

Perturbation of the expected Minkowski functional and its applications

Satoshi Kuriki.pdf




Hidetoshi Shimodaira, Kyoto University / RIKEN AIP

Adjusting the bias of multiple testing by bootstrap resampling with “negative” sample size and its applications to phylogenetics

Hidetoshi Shimodaira.pdf




Yoshikazu Terada, Osaka University

Selective inference for the problem of regions via multiscale bootstrap with applications to clustering and regression

Yoshikazu Terada.pdf


(S104) Model Selection and Information Criteria


Chair: Yoshiyuki Ninomiya, The Institute of Statistical Mathematics


Organizer: Hidetoshi Shimodaira, Kyoto University / RIKEN AIP


Speakers:


Yoshiyuki Ninomiya, The Institute of Statistical Mathematics

A Cp Criterion for Semiparametric Causal Inference

Yoshiyuki Ninomiya.pdf




Hirokazu Yanagihara, Hiroshima University

High-dimensionality-adjusted Consistent Information Criterion in Multivariate Linear Models

Hirokazu Yanagihara.pdf




Shinpei Imori, Hiroshima University

Convergence rate of importance weighted orthogonal greedy algorithm

Shinpei Imoti.pdf




Keisuke Yano, The University of Tokyo

Risk-estimation based predictive densities for heteroskedastic hierarchical models

Keisuke Yano.pdf

 


(S105) Statistical Theory for Neural Networks and Machine Learning


Chair: Taiji Suzuki, The University of Tokyo


Organizer: Hidetoshi Shimodaira, Kyoto University / RIKEN AIP


Speakers:


Taiji Suzuki, The University of Tokyo

Generalization error of deep learning and its learning dynamics from compression ability point of view

Taiji Suzuki.pdf




Ryo Karakida, National Institute of Advanced Industrial Science and Technology (AIST)

Fisher information of deep neural networks with random weights

Ryo Karakida.pdf




Masaaki Imaizumi, The Institute of Statistical Mathematics

Generalization Analysis for Mechanism of Deep Learning via Nonparametric Statistics

Masaaki Imaizumi.pdf




Takafumi Kanamori, Tokyo Institute of Technology

Statistical Inference with Unnormalized Models

Takafumi Kanamori.pdf


(S106) Dependent Data Analysis


Chair: Hui Huang, Sun Yat-sen University


Organizer: Xueqin Wang, Sun Yat-sen University


Speakers:


Bohai Zhang, Nankai University

Bayesian spatio-temporal modeling of Arctic sea ice extent

Bohai Zhang.pdf




Huiyan Sang, Texas A&M University

Autologistic network model on binary data for disease progressionstudy

Huiyan Sang.pdf




Mengyun Wu, Shanghai University of Finance and Economics

Integrative interaction analysis of multi-omics data

Mengyun Wu.pdf

 


(S107) Recent Advances in Probability Theory and Related Fields


Chair: Zhonggen Su, Zhejiang University


Organizer: Zhonggen Su, Zhejiang University


Speakers:


Zhigang Bao, Hong Kong University of Science and Technology

On Cramer-von Mises statistic for the spectral distribution of random matrices

Zhigang Bao.pdf




Hanchao Wang, Shandong University

Concentration Inequalities for Point Processes

Hanchao Wang.pdf




Hao Wu, Tsinghua University

Crossing probabilities in 2D critical lattice models

Hao Wu.pdf




Lun Zhang, School of Mathematical Sciences, Fudan University

Gaussian unitary ensembles with pole singularities near the soft edge and a system of coupled Painlevé XXXIV equations

Lun Zhang.pdf


(S108) Topics in survival and longitudinal analysis with applications to clinical studies


Chair: Yingchun Zhou, East China Normal University


Organizer: Chao Zhu, Eli Lilly and Company


Speakers:


Chunjie Wang, Changchun University of Technology

Empirical likelihood for additive hazards regression model with case II interval censored failure time data

Chunjie Wang.pdf




Hui Zhao, Zhongnan University of Economics and Law

Simultaneous estimation and variable selection for Interval-Censored Data with Broken Adaptive Ridge Regression

Hui Zhao.pdf




Yingchun Zhou, East China Normal University

Functional Mixed Effects model for joint analysis of longitudinal and cross-sectional growth data

Yingchun Zhou.pdf

 


(S109) Statistical and Machine Learning Methods with Application in AI Transportation


Chair: Chengchun Shi, NC State University


Organizer: Rui Song, North Carolina State University


Speakers:


Fan Zhou, School of Statistics and Management, Shanghai University of Finance and Economics

Statistics, Optimization and Deep Learning in the ride-sharing Industry

Fan Zhou.pdf




Kaixian Yu, Didi Chuxing

A statistical and machine learning framework for new energy vehicle ride sharing system

Kaixian Yu.pdf




Guangliang Chen, San Jose State University

Recent advances in landmark-based scalable spectral clustering

Guangliang Chen.pdf

 


(S111) Strategic and Statistical Considerations in Early Phase Drug Development


Chair: Fan Xia, BeiGene


Organizer: Fan Xia, BeiGene


Speakers:


Chao Zhu, Eli Lilly and Company(Substitute speaker:Fei Ji)

Proof of Concept Decision Making in Phase 1b Cohort Expansion Study

Chao Zhu.pdf




Naitee Ting ,Boehringer Ingelheim.com

Proof of Mechanism and Proof of Concept Clinical Trials

Naitee Ting.pdf




Jin Xu, East China Normal University

Bayesian Basket trial Design Accounting for Multiple Cutoffs of the Ambiguous Biomarker

Jin Xu.pdf




J.Jack Lee, MD Anderson Cancer Center

Bayesian Model-Assisted Designs for the Easy Conduct and Efficient Design of Phase I/II Trials: Keep It Simple and Smart! 

J. Jack Lee.pdf


(S112) CWS Special Invited Session: Recent Advances in Statistical Methods for Genomic Data


Chair: Wendy Lou, University of Toronto


Organizer: Wendy Lou, University of Toronto


Speakers:


Shili Lin, Ohio State University

Statistical Inference of Chromatin 3D Structures from DNA Methylation Data

Shili Lin.pdf




Chuhsing Kate Hsiao, National Taiwan University

Network hub-node prioritization of gene regulation with intra-network association

Chuhsing Kate Hsiao.pdf




Jung-Ying Tzeng, NC State University

Gene-set Integrative Omics Analysis Using Tensor-based Association Tests

Jung-Ying Tzeng.pdf




Charlotte Wang, Department of Mathematics, Tamkang University

Genetic factors selection for association study with imbalanced case-control samples

Charlotte Wang.pdf

 

(S113) Current Challenges in Functional Data Analysis


Chair: Jiguo Cao, Simon Fraser University


Organizer: Hans-Georg Müller, University of California, Davis


Speakers:


Yehua Li, University of California at Riverside

Spatially Dependent Functional Data: Covariance Estimation, Principal Component Analysis, and Kriging

Yehua Li.pdf




Fang Yao, Peking University

Weak Separability Test for Spatial Functional Feilds

Fang Yao.pdf




Jeng-Min Chiou, Academia Sinica

On multiple segmentation of a functional data sequence

Jeng-Min CHIOU.pdf




Yaqing Chen, University of California, Davis

Wasserstein Gradients for the Temporal Evolution of Probability Distributions

Yaqing Chen.pdf



(S114) Highlights of Statistica Sinica


Chair: Yazhen Wang, University of Wisconsin-Madison


Organizer: Hans-Georg Müller, University of California, Davis


Speakers:


Nianshen Tang, Yunnan University

A Model-averaging method for high-dimensional regression with missing responses at random

Niansheng Tang.pdf




Jiguo Cao, Simon Fraser University

Estimation of Sparse Functional Additive Models with Adaptive Group LASSO

Jiguo Cao.pdf




Masayuki Henmi, The Institute of Statistical Mathematics

Understanding and Utilizing the Linearity Condition in Dimension Reduction

Masayuki Henmi.pdf

 


·(S115) Recent developments in discriminant and multivariate analysis


Chair: Binyan Jiang, The Hong Kong Polytechnic University


Organizer: Binyan Jiang, The Hong Kong Polytechnic University


Co-Organizer: Chenlei Leng, University of Warwick


Speakers:


Qing Mai, Florida State University

A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering

Qing Mai(new).pdf




Teng Zhang, University of Central Florida

Robust Principal Component Analysis by Manifold Optimization

Teng Zhang.pdf




Binyan Jiang, The Hong Kong Polytechnic University

Linear discriminant analysis with high dimensional mixed variables

Binyan Jiang.pdf


(S116) Finding structures in complex data


Chair: Xinghao Qiao, London School of Economics


Organizer: Chenlei Leng, University of Warwick


Speakers:


Xinghao Qiao, London School of Economics

On Consistency and Sparsity for Large-Scale Curve Time Series with Application to Autoregressions

Xinghao Qiao.pdf




Tengyao Wang, London's Global University

High-dimensional principal component analysis with heterogeneous missingness

Tengyao Wang.pdf




Yi Yu, University of Bristol

Optimal nonparametric change point detection and localization

Yi Yu.pdf

 


(S117) New methods and theory for analysing Big Data


Chair: Liping Zhu, Renmin University of China


Organizer: Chenlei Leng, University of Warwick


Speakers:


Hansheng Wang, Peking University

Least Squares Approximation for a Distributed System

Hansheng Wang.pdf




Guang Cheng, Purdue Statistics

Sparsifying Deep Neural Networks with Generalized Regularized Dual Averaging

Guang Cheng.pdf




Debajyoti Sinha, Florida State University

Single Index Models for Analysis of Mental Health Data with Functional Covariates

DEBAJYOTI SINHA.pdf




Liping Zhu, Renmin University of China

Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression

Liping Zhu.pdf


 


(S119) Recent Advances in High dimensional Statistics


Chair: Linjun Zhang, Rutgers University


Organizer: Zijian Guo, Rutgers University


Speakers:


Cun-Hui Zhang, Rutgers University

Limit distribution theory in multiple isotonic regression

Cun-Hui Zhang.pdf




Gianluca Finocchio, University of Twente

Bayesian variance estimation in the Gaussian sequence model with partial information on the means

Gianluca Finocchio.pdf




Wei Lin, Peking University

Large Covariance Regression for Spatial Data

Wei Lin.pdf




Linjun Zhang, Rutgers University

The cost of privacy: optimal rates of convergence for parameter estimation with differential privacy

Linjun Zhang.pdf


(S120) High dimensional Statistics and Probability


Chair: Yukun He, University of Zurich


Organizer: Zijian Guo, Rutgers University


Speakers:


Qi-Man Shao, Southern University of Science and Technology

Refined Cramer type moderate deviation thorems for general self-nomalied sums with applications

Qi-Man Shao.pdf




Xinghua Zheng, HKUST

Tests for principal eigenvalues and eigenvectors

Xinghua Zheng.pdf




Yukun He, University of Zurich

Single eigenvalue fluctuations of sparse Erdős-Rényi graphs

Yukun He.pdf




Fengnan Gao, Fudan University

Asymptotic Normality of the Maximum Likelihood Estimators in ANOVA Models

Fengnan Gao.pdf

 


(S121) Complex data analysis and its applications


Chair: Sai Li, University of Pennsylvania


Organizer: Zijian Guo, Rutgers University


Speakers:


Xinyuan Song, Chinese University of Hong Kong

Joint modeling of multivariate continuous and time-to-event data

Xinyuan Song.pdf




Yingying Li, Hong Kong University of Science and Technology

Statistical learning for individualized asset allocation

Yingying Li.pdf




Sai Li, University of Pennsylvania

Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach

Sai Li.pdf




Kai Yu, National Cancer Institute

Generalized integration model for Improved Statistical Inference by Leveraging External Summary Data

Kai Yu.pdf


(S122) Traditional statistical techniques in new data setting


Chair: Binyan Jiang, The Hong Kong Polytechnic University


Organizer: Catherine Liu, The Hong Kong Polytechnic University


Speakers:


Fangfang Wang, Worcester Polytechnic Institute

Modeling Count Time Series via Common Factors

Fangfang Wang.pdf




Kin Yau Wong, The Hong Kong Polytechnic University

Variable Selection for Multiple Types of High-Dimensional Features With Missing Data

Kin Yau Wong.pdf




Long Feng, City University of Hong Kong

High-order Imaging Regression via Internal Variation

Long Feng.pdf




Xin Guo, The Hong Kong Polytechnic University

Distributed Learning with Minimum Error Entropy Principle

Xin Guo.pdf

 


(S123) Big Data and Artificial Intelligence in Medicine: a Bright Future


Chair: Jim Li, Pfizer Inc


Organizer: Kelly Zou, Organizer Affiliation


Co-Organizer: Jim Li, Pfizer Inc


Speakers:


Jim Li, Pfizer Inc

Generating Real World Evidence for Non-Communicable Disease Control

Jim Li.pdf




Yuji Feng, Beijing Innomed Health and Medical Research Center

Evaluation of the three-in-one team-based care model on hierarchical diagnosis and treatment patterns among patients with diabetes: a retrospective cohort study using Xiamen’s regional electronic health records

Yuji Feng.pdf




Haoda Fu, Eli Lilly and Company

Machine Learning and Artificial Intelligence for Healthcare

Haoda Fu(S123).pdf




Jun Su, Sanofi

Using big data and artificial intelligence to overcome the challenge of identifying patients with a rare disease without diagnosis code

TBA


(S124) Novel approaches for analysis of probability and non-probability samples


Chair: Qixuan Chen, Columbia University


Organizer: Qixuan Chen, Columbia University


Speakers:


Michael Elliott, University of Michigan

Combining Probability Non-probability Samples: Theory and Practice

Michael Elliott.pdf




Zhonglei Wang,Xiamen University

Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach  

Zhonglei Wang.pdf




Changbao Wu, University of Waterloo

Methodologies for Analyzing Non-probability Survey Samples

Changbao Wu.pdf




Qixuan Chen, Columbia University

Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information

Qixuan Chen.pdf

 


(S125) Advances in Statistical Analysis of Omics Data in Agriculture


Chair: Peng Liu, Iowa State University


Organizer: Peng Liu, Iowa State University


Speakers:


Min Zhang, Purdue University

An Efficient Statistical Method for Genomic Selection

Min Zhang.pdf




Lan Zhu, Oklahoma State University

Statistics Improves Effectiveness of Genomic Selection in Plant Breeding

Lan Zhu.pdf




Yumou Qiu, Iowa State University

Exploring high-throughput plant phenomics and genomics data

Yumou Qiu.pdf




Peng Liu, Iowa State University

Feature Selection for Rhizosphere Microbiome Studies in Presence of Confounding Using Standardization

Peng Liu.pdf


(S126) Novel Bayesian Adaptive Clinical Trial Designs for Immunotherapy and Precision Medicine


Chair: Sammi Tang, Servier Pharmaceuticals


Organizer: Ying Yuan, MD Anderson Cancer Center


Speakers:


Sammi Tang, Servier Pharmaceuticals

ComPAS: A Novel Bayesian drug combination platform trial design with adaptive shrinkage for I/O check inhibitors

Rui (Sammi) Tang.pdf




Fangrong Yan, China Pharmaceutical University

Incorporating population pharmacokinetics data for Phase I-II dose-schedule finding

Fangrong Yan.pdf




Yaqian Zhu, University of Pennsylvania

Characteristics of early phase trial designs for immunocology and comparisons of common designs

Yaqian Zhu.pdf



 


(S127) Advances in Large Scale Data Analysis


Chair: Hua Zhou, UCLA


Organizer: Gang Li, UCLA


Speakers:


Donatello Telesca, UCLA

Bayesian Analysis of Multidimensional Functional Data

Donatello Telesca.pdf




Yi Liu, Ocean University of China

A New Joint Screening Method for Right-Censored Time-to-Event Data with Ultra-high Dimensional Covariates

Yi Liu.pdf




Hui Zhao, Zhongnan University of Economics and Law

Simultaneous estimation and variable selection for Interval-Censored Data with Broken Adaptive Ridge Regression

Hui Zhao.pdf




Linlin Dai, Southwestern University of Finance and Economics

Dimension Reduction via cross-validation metric learning

Linlin DAI.pdf


(S128) Real world evidence in medical research: methods and applications


Chair: Gang Li, Janssen


Organizer: Xiwu Lin, Johnson & Johnson


Speakers:


Kun Chen, University of Connecticut

Targeted integrative learning with applications in suicide risk prediction

Kun Chen.pdf




Antai Wang, New Jersey Institute of Technology

Analysis of semi-competing risks data using Archimedean copula models

Antai Wang.pdf




Gang Li, Janssen

Perspective Plan for Studies Combining Real World Data Sources

Gang Li.pdf




Samuel Wu, University of Florida

Two-Stage Multi-Factor Adaptive Clinical Trials

Samuel Wu.pd

 


(S129) Integrative Analyses for Wearable Sensor Data in Clinical Studies


Chair: Chee-Ming Ting, Universiti Teknologi Malaysia


Organizer: Haochang Shou, University of Pennsylvania


Speakers:


Zhenke Wu, University of Michigan

Dynamic Bayesian Prediction and Calibration using Multivariate Sensor Data Streams

Zhenke Wu.pdf




Jaroslaw Harezlak, Indiana University School of Public Health

Body Posture Recognition Based on the Raw Accelerometry Data

Jaroslaw Harezlak.pdf




Jiawei Bai, Johns Hopkins University

Which to use: objective measurement or performance test for physical activity?

Jiawei Bai.pdf




Haochang Shou, University of Pennsylvania

Functional Marginal Structural Models for Time-varying Confounding of Mood Assessments

Haochang Shou.pdf


(S130) The Advances of Powerful Tools for Complex Neuroimaging Data


Chair: Zhenke Wu, University of Michigan


Organizer: Haochang Shou, University of Pennsylvania


Speakers:


Lu Wang, Central South University

Learning Signal Subgraphs from Longitudinal Brain Networks with Symmetric Bilinear Logistic Regression

Lu Wang.pd




Chee-Ming Ting, Universiti Teknologi Malaysia

Classifying EEG Functional Connectivity Patterns Using A Multi-Domain Convolutional Neural Network

Chee-Ming Ting.pdf




Luo Xiao, North Carolina State University

A functional mixed model for scalar on function regression with application to a functional MRI study

Luo Xiao.pdf




John Muschelli, Johns Hopkins University

Neuroconductor: An R Platform for Medical Imaging Analysis

John Muschelli.pdf

 


(S131) Statistical Learning for the Analysis of Large-scale Omics Data


Chair: Wei Chen, University of Pittsburgh


Organizer: Ying Ding, University of Pittsburgh


Speakers:


Chun Li, Case Western Reserve University

DeepHiC: Greatly Enhancing Chromatin Interaction Information Using Deep Learning

Chun Li.pdf




Weihua Guan, University of Minnesota

Measurement Errors in Array-Based DNA Methylation Analysis

Weihua Guan.pdf




Wei Chen, University of Pittsburgh

Statistical learning for analyzing single-cell multi-omics data

Wei Chen.pdf




Miaoxin Li, Sun Yat-sen University

A powerful method for the estimation of cancer-driver genes using a weighted iterative zero-truncated negative-binomial regression

Miaoxin Li.pdf


(S132) Methods for measurement error problems and their role in improving EHR data-based discovery


Chair: Pamela Shaw, Associate Professor of Biostatistics


Organizer: Yong Chen, University of Pennsylvania


Speakers:


Pamela Shaw, Associate Professor of Biostatistics

Methods to address correlated exposure and outcome error for failure time outcomes

Pamela Shaw.pdf




Xin Liu, Shanghai University of Finance and Economics

Support Vector Machine with Measurement Error

Xin Liu.pdf




Yong Chen, University of Pennsylvania

Augmented methods in PheWAS studies for pleiotropic effects using biobank data

Yong Chen.pdf




Thomas Lumley, University of Auckland

Multiwave sampling for two-phase designs

Thomas Lumley.pdf

 


(S133) Statistical advances in accelerating global health and drug development in special population


Chair: Bingzhi Zhang, Sanofi


Organizer: Zhaoling Meng, Gates Medical Research Institute


Co-Organizer: Jeff Barrett, Bill & Melinda Gates Medical Research Institute


Speakers:


Christine Xu, Sanofi

Application of Model Informed Pediatric Extrapolation in Drug Development

Christine Xu.pdf




Karen Xia, Johnson and Johnson

Janssen’s platform trial in evaluating novel compounds in Crohn’s Disease

Karen Xia.pdf




Zhaoling Meng, Gates Medical Research Institute

Real World Data Informed Clinical Development via Modeling and Simulation

Zhaoling Meng.pdf




Jun Wang, CFDA

※Discussant


(S134) Recent Advances in Machine Learning


Chair: Ming Yuan, Columbia University


Organizer: Ming Yuan, Columbia University


Speakers:


Jianjun Wang, Southwest University

Low-Tubal-Rank Tensor Recovery from One-bit Measuremen

Jianjun Wang.pdf




Shao-bo Lin, Xi'an Jiaotong University

The power of depth for deep nets in learning theory

Shao-Bo Lin.pdf




Xuehu Zhu, Xi'an Jiaotong University 

Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion

Xuehu Zhu.pdf




Yao Wang, Xi'an Jiaotong University

A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration

Yao Wang.pdf

 


(S135) Random Matrix Theory and its Applications to Statistics


Chair: Fang Han, University of Washington


Organizer: Fang Han, University of Washington


Speakers:


Xiucai Ding, Duke University

Eigenvector distribution of deformed random matrices

Xiucai Ding.pdf




Weiming Li, Shanghai University of Finance and Economics

ON EIGENVALUES OF A HIGH-DIMENSIONAL SPATIAL-SIGN COVARIANCE MATRIX

Weiming Li.pdf




Zeng Li, Southern University of Science and Technology

On testing high dimensional white noise

Zeng Li.pdf




Yanrong Yang, Australian National University

Can we trust PCA on nonstationary data?

Yanrong Yang.pdf


(S136) Robust Statistics


Chair: Fang Han, University of Washington


Organizer: Fang Han, University of Washington


Speakers:


Qiyang Han, Rutgers University

Confidence intervals for multiple isotonic regression and other monotone models

Qiyang Han.pdf




Zhao Ren, University of Pittsburgh

Adaptive Minimax Density Estimation for Huber's Contamination Model under $L_p$ losses

Zhao Ren.pdf




Chao Zheng, Lancaster University

Consistency of a range of penalised cost approaches for detecting multiple changepoints

Chao Zheng.pdf




Subhajit Dutta, IIT KANPUR

On Perfect Classification and Clustering for Gaussian Processes

Subhajit Dutta.pdf



 


(S137) Causal inferences in survival and mediation analyses


Chair: Xinran Li, University of Illinois at Urbana-Champaign


Organizer: Xinran Li, University of Illinois at Urbana-Champaign


Speakers:


Yifan Cui, University of Pennsylvania

Instrumental variable estimation of a Cox marginal structural model with time-varying endogenous treatments

Yifan Cui.pdf




Ting Ye, University of Pennsylvania

Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization

Ting Ye.pdf




Masataka Taguri, Yokohama City University

Causal mediation analysis with multiple causally non-ordered mediators 

Masataka Taguri.pdf




Xinran Li, University of Illinois at Urbana-Champaign

The randomization distribution of the logrank statistic

Xinran Li.pdf

 


(S139) Time Series Analysis


Chair: Shifeng Huang, Chair Affiliation


Organizer: Guangming Pan, Nanyang Technological University


Speakers:


Shih-Feng Huang, National University of Kaohsiung

Modeling Financial Time Series with Soft Information

Shih-Feng Huang.pdf




Meihui Guo, Dept. of Applied Mathematics, National Sun Yat-sen University

Time Series Analysis with Unsupervised Learning

Meihui Guo.pdf




Liang-Ching Lin, National Cheng Kung University

Symbolic Interval-Valued Data Analysis for Time Series based on Normality Assumption

Liang-Ching Lin.pdf




Bo Zhang, University of Science and Technology of China

Clt for largest eigenvalues in high-dimensional nonstationary time series and its applications

Bo Zhang.pdf


(S140) High dimensional change point detection,Regression and Clustering


Chair: Guangming Pan, Nanyang Technological University


Organizer: Guangming Pan, Nanyang Technological University


Speakers:


Chun Yip Yau, Chinese University of Hong Kong

A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Process

Chun Yip Yau.pdf




Yue Sheng, University of Pennsylvania

Distributed linear regression in high dimensions

Yue Sheng.pdf




Guangming Pan, Nanyang Technological University

High dimensional clustering

Guangming Pan.pdf




Changliang Zou, Nankai University

Selection of the number of change-points via error rate control

Changliang Zou.pdf



 


(S141) Recent Progresses on Dimension Reduction & High Dimensional Data Analysis


Chair: Qian Lin, Tsinghua University


Organizer: Ke Deng, Tsinghua University


Speakers:


Qian Lin, Tsinghua University

Sparse SIR via Lasso

Qian lin.pdf




Yingkai Jiang, Tsinghua University

Bayesian Sufficient Dimension Reduction via Modeling Joint Distributions

Yingkai Jiang.pdf




Junlong Zhao, School of Statistics, Beijing Normal University Multiple influential point detection in high dimensional regression spaces

Junlong Zhao.pdf


(S142) Promoting Statistical Consulting and Collaboration in China


Chair: Xiaoyue Niu, Pennsylvania State University


Organizer: Ke Deng, Tsinghua University


Speakers:


Xiaoyue Niu, Pennsylvania State University

Effective Communication for Successful Collaboration

Xiaoyue Niu.pdf




Lillian Lin, Retired Statistical Consultant

Statistical Consulting in the Era of Data Science

Lillian Lin.pdf




Ximing Xu, Nankai University

Strategies for promoting the engagement of students in statistical consulting

Ximing Xu.pdf




Mengzhao Gao, Tsinghua University

Statistical Consulting Practice at Tsinghua University

Mengzhao Gao.pdf

 


(S143) Statistical Advances and Challenges in Bioinformatics


Chair: Lin Hou, Tsinghua University


Organizer: Ke Deng, Tsinghua University


Speakers:


Qi Li, Tsinghua University

miRACLe: improving the prediction of miRNA-mRNA interactions by a random contact model

Qi Li.pdf




Can Yang, HKUST

Quantifying the impact of genetically regulated expression on complex traits and diseases

Can Yang.pdf




Wei Sun, Fred Hutch

Statistical Analysis of Somatic Mutations in Cancer Genomes

Wei Sun.pdf




Shuqin Zhang, Fudan University

Dimension Reduction and Dropout Imputation for Single-Cell RNA Sequencing Data Using Constrained Robust Nonnegative Matrix Factorization

Shuqin Zhang.pdf


(S144) Bayesian Statistics


Chair: Suman Guha, Department of Statistics, Presidency University


Organizer: Anil Ghosh, Indian Statistical Institute


Co-Organizer: Subhajit Dutta, IIT KANPUR


Speakers:


Dootika Vats, Indian Institute of Technology

Efficient Bernoulli factory MCMC for intractable likelihoods

Dootika Vats.pdf




Minerva Mukhopadhyay, Indian Institute of Technology Kanpur

Estimating densities with nonlinear support using Fisher-Gaussian kernels

Minerva Mukhopadhyay.pdf




Suman Guha, Department of Statistics, Presidency University

Bayesian Analysis with Gaussian Random Functional Dynamic Spatio-Temporal Model

Suman Guha.pdf

 


 (S145) Special Invited Papers of Statistics and Its Inference


Chair: Yuedong Wang, University of California at Santa Barbara

Co-Organizer: Ming-Hui Chen, University of Connecticut

                         Yuedong Wang, University of California at Santa Barbara


Speakers:

Ling Zhou, Southwestern University of Finance and Economics

Doubly Regularized Estimation and Selection in Linear Mixed-Effects Models for High-Dimensional Longitudinal Data

Ling Zhou(s145).pdf




Zhilan Lou, Zhejiang University of Finance and Economics

Optimal Treatment Assignment for Multiple Treatments with Analysis of Variance Decomposition

Zhilan Lou.pdf




Sudipto Banerjee, UCLA Fielding School of Public Health

Bayesian Modeling and Uncertainty Quantification for Descriptive Social Networks 

Sudipto Banerjee.pdf




Yu Chen, Peking University

Analyzing Beijing Point of Interest Data Using Group Linked Cox Process

Yu Chen.pdf




(S146) Adanced Statistical Methods for Microbiome Sequencing Data with Applications to Complex Human Diseases


Chair: Xiaojing Zheng, UNC-CH


Organizer: Di Wu, University of North Carolina at Chapel Hill


Co-Organizer: Xiaojing Zheng, UNC-CH


Speakers:


Di Wu, University of North Carolina at Chapel Hill

Evaluation of Statistical Methods for Differential Expression Analysis in Microbiome Metatranscriptomics Data

Di Wu.pdf




Xiaojing Zheng, UNC-CH

Multi-SNP mediation intersection-union test

Xiaojing Zheng.pdf

 


(S147) Statistical Methods and Algorithms for High-dimensional Biomedical Data


Chair: Fei Zou, UNC-CH


Organizer: Fei Zou, UNC-CH


Speakers:


Xuexia Wang, University of North Texas

A Fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data

Xuexia Wang.pdf




Fenghai Duan, Brown University

Comparisons and Validation of the Three Pulmonary Nodule Malignancy Risk Models (Brock, Radiomics, Deep Learning): A Secondary Analysis of Data from the National Lung Screening Trial

Fenghai Duan.pdf




Fei Zou, UNC-CH

Double Deep Learning for Adjusting Complex Confounding Structures In Observational Data

Fei Zou.pdf


(S148) Statistical Issues in Imaging Data Analysis


Chair: Bin Nan, University of California, Irvine


Organizer: Bin Nan, University of California, Irvine


Speakers:


Jian Kang, University of Michigan

Bayesian Spatial Blind Source Separation via Thresholded Gaussian Processes

Jian Kang.pdf




Linglong Kong, University of Alberta

High-Dimensional Spatial Quantile Function-on-Scalar Regression in Neuroimaging Analysis

Linglong Kong.pdf




Tingting Zhang, The University of Virginia

A Bayesian State-Space Approach to Mapping Directional Brain Networks

TingTing Zhang.pdf

 


(S149) Designs of Modern Clinical Trials


Chair: Bin Nan, University of California, Irvine


Organizer: Bin Nan, University of California, Irvine


Speakers:


Molei Liu, Harvard School of Public Health 

Integrative analysis of high dimensional data under privacy constraints

Molei Liu.pdf




Ying Qing Chen, Fred Hutchinson Cancer Research Center

Trial Designs for Evaluating Combination HIV Prevention Approaches

Ying Qing Chen.pdf




Daniel Gillen, University of California

Lessons Learned from Adaptive RCT Designs

Daniel Gillen.pdf




Lu Tian, Stanford University

Group Sequential Analysis based on RMST

Lu Tian.pdf


(S150) Causal inference and related methodology in health sciences


Chair: Guoshuai Cai, University of South Carolina


Organizer: Jian Wang, The University of Texas MD Anderson Cancer Center


Speakers:


Yisheng Li, The University of Texas MD Anderson Cancer Center

A Bayesian semiparametric latent variable approach to causal mediation

Yisheng Li.pdf




Yu Shen, The University of Texas MD Anderson Cancer Center

Challenge and promise of observational studies in cancer research

Yu Shen.pdf




Rajesh Talluri, University of Mississippi Medical Center

Bidirectional mediation to quantify direct and indirect effects with application to obesity and diabetes

Rajesh Talluri.pdf

 


(S151) The Use of Spectral Methods in Statistics: Theory and Applications


Chair: Yuting Wei, Carnegie Mellon University


Organizer: Tracy Ke, Harvard University


Speakers:


Jiashun Jin, Carnegie Mellon University

The Phase II data for the network of statisticians

Jiashun Jin.pdf




Weichen Wang, Two Sigma Investments

Asymptotics of empirical eigenstructure for high dimensional spiked covariance

Weichen Wang.pdf




Tracy Ke, Harvard University

Detecting Rare and Weak Spikes in Large Covariance Matrices

Tracy Ke.pdf




Yuting Wei, Carnegie Mellon University

A geometric perspective of hypothesis testing

Yuting Wei.pdf


(S152) High dimensional analysis and application in biomarker identification


Chair: Qian Wu, Fred Hutch


Organizer: Yumou Qiu, Iowa State University


Co-Organizer: Qian Wu, Fred Hutch


Speakers:


Jing He, Southwestern University of Finance and Economics

Independence Structure Test in Ultra High-Dimensional Data

Jing He.pdf




Qian Wu, Fred Hutch

Prognostic biomarker identification and subgroup analysis using high dimensional inference in CAR-T cell immunotherapy trial

Qian Wu.pdf




Ying Huang, Fred Hutchinson Cancer Research Center

Threshold-based subgroup testing in logistic regression models

Ying Huang.pdf




Jiang Gui, Dartmouth College

Information Enhanced Model Selection for High-Dimentional Gaussian Graphic Model with Application to Metabolomics Data

Jiang Gui.pdf

 


(S153) Recent Advances in Ultrahigh Dimensional Data


Chair: Wei Zhong, Xiamen University


Organizer: Wei Zhong, Xiamen University


Speakers:


Xuerong Chen, Southwestern University of Finance and Economics

The Lq-norm learning for ultrahigh-dimensional survival data: an integrative framework

Xuerong Chen.pdf




Wenwen Guo, School of Mathematical Sciences, Capital Normal University , China

Testing for Homogeneity of Mean Vectors and Covariance Matrices in High-dimension

Wenwen Guo.pdf




Wenliang Pan, Sun Yat-sen university

Ball Covariance: A Generic Measure of Dependence in Banach Space

Wenliang Pan.pdf




Kai Xu, Anhui Normal University

A nonparametric test for proportional covariance matrices in large dimension and small samples

Kai Xu.pdf


 


(S155) Recent advances in biomedical big data analytics


Chair: Zhixiang Lin, The Chinese University of Hong Kong


Organizer: Zhixiang Lin, The Chinese University of Hong Kong


Speakers:


Jin Liu, Duke-NUS Medical School

MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting linkage disequilibrium and horizontal pleiotropy

Jin Liu.pdf




Tao Wang, Shanghai Jiao Tong University

Model-based microbiome data ordination: A variational approximation approach

Tao Wang.pdf




Qiongshi Lu, University of Wisconsin-Madison

Post-GWAS data integration identifies risk factors for Alzheimer’s disease

Qiongshi Lu.pdf




Zhixiang Lin, The Chinese University of Hong Kong

Statistical methods for data integration in single-cell genomics

Zhixiang Lin.pdf


(S156) Recent advances in complex biological data modeling


Chair: Jianhua Hu, Columbia University


Organizer: Weining Shen, UC Irvine


Speakers:


Yang Ni, Texas A&M University

Covariate-dependent graphs with application in cancer genomics

Yang Ni.pdf




Jianhua Hu, Columbia University

Integrative analysis of multi-platform data

Jianhua Hu.pdf




Jin Piao, University of Southern California

Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling

Jin Piao.pdf




Weining Shen, UC Irvine

Generalized probabilistic principal component analysis

Weining Shen.pdf

 


(S157) Deep learning and applications


Chair: Yuying Xie, Michigan State University


Organizer: Yuying Xie, Michigan State University


Co-Organizer: Matthew Hirn, Michigan State University


Speakers:


Matthew Hirn, Michigan State University

Invariant Data Representations with Multiscale Mathematical Models for ConvNets

Matthew Hirn.pdf




Yuan Yao, Hong Kong University of Science and Technology

Robustness and Sparsity in Deep Learning

Yuan Yao.pdf




Zuoqiang Shi, Tsinghua University

PDE-based Methods for Interpolation on High Dimensional Point Cloud

Zuoqiang Shi.pdf




Yuying Xie, Michigan State University

Predicting Plant Stress Responses Using Deep Neural Network

Yuying Xie.pdf


(S158) Modern Clinical Trial Design and Analysis Methods


Chair: Qian Wu, Fred Hutch


Organizer: Hongzhe Li, University of Pennsylvania


Speakers:


Haiyan Zheng, Newcastle University

Adaptive borrowing of information across patient subgroups in a basket trial based on distributional discrepancy

Haiyan Zheng.pdf




Jing Qian, University of Massachusetts

Estimation of survival under dependent truncation

Jing Qian.pdf




Jun Guan, Methodologist

How to apply the multilevel modeling in large health care administrative data

Jun Guan.pdf

 


(S159) Recnet Develpments in Statistical Network Analysis


Chair: Ji Zhu, University of Michigan


Organizer: Ji Zhu, University of Michigan


Speakers:


Tianxi Li, University of Virginia

Hierarchical community detection by recursive partitioning

Tianxi Li.pdf




Yuguo Chen, University of Illinois at Urbana-Champaign

Popularity-Adjusted Block Models for Networks with Community Structure

Yuguo Chen.pdf




Ali Shojaie, University of Washington

Network Differential Connectivity Analysis

Ali Shojaie.pdf




Yuan Zhang, Ohio State University

Edgeworth approximation to network U-statistics

Yuan Zhang.pdf


(S160) Causal Inference


Chair: Zhi Geng, Chair Affiliation


Organizer: Jinzhu Jia, Peking University


Speakers:


Xiaohua Zhou, Beijing International Center for Mathematical Research and Department of Biostatistics, Peking University

Estimation of Optimal Individualized Treatment Rule Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates

Xiaohua Zhou.pdf




Xiaojun Song, Peking University

Specification tests for generalized propensity scores using double projections

Xiaojun Song.pdf




Hanzhong Liu, Tsinghua University

Covariate Adjustment in Completely Randomized Experiments With Noncompliance

Hanzhong Liu.pdf




Jinzhu Jia, Peking University

On the Efficiency of Logistic Regression Estimators in Estimating The Causal Effect

Jinzhu Jia.pdf

 


(S161) Recent Advances in Statistical Learning for Healthcare and Biomedical Problems


Chair: Ji Zhu, University of Michigan


Organizer: Ji Zhu, University of Michigan


Speakers:


Zhi (Kevin) He, University of Michigan

Minorization-Maximization-based Boosting for Large-scale Survival Analysis with Time-Varying Effects

Zhi (Kevin) He.pdf




Bin Nan, University of California, Irvine

Functional Regression for Brain Imaging

Bin Nan.pdf




George Michailidis, U of Florida

A Bayesian Approach to Joint Estimation of Multiple Graphical Models

George Michailidis.pdf


(S162) Statistical models for diseases with spatial or temporal variations


Chair: Huiyan Sang, Texas A&M University


Organizer: Le Bao, Pennsylvania State Unmioversity


Co-Organizer: Richard Li, Yale University


Speakers:


Zehang Li, Yale School of Public Health

Modeling heroin-related EMS calls in space and time

Zehang Li.pdf




Jaewoo Park, Yonsei University

An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger

Jaewoo Park.pdf




Ander Wilson, Colorado State University

Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children's Health Studies

Ander Wilson.pdf

 


(S163) New development for statistical analysis


Chair: Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Organizer: Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Speakers:


Suojin Wang, Texas A&M University

Oracally Efficient Estimation and Simultaneous Inference in Partially Linear Single-index Models for Longitudinal Data

Suojin Wang.pdf




Grace Yi, University of Waterloo, University of Western Ontario

Modeling and Analysis of Correlated Data using Pairwise Likelihood

Grace Yi.pdf




Guohua Zou, Capital Normal University

On the asymptotic distribution of model averaging based on information criterion

Guohua Zou.pdf


(S164) New Advances in Complex Data Analysis and the Applications


Chair: Yichuan Zhao, Georgia State University


Organizer: Yichuan Zhao, Georgia State University


Speakers:


Jianxin Pan, University of Manchester, UK

Regularization of High-Dimensional Toeplitz Covariance Structure via Entropy Loss Function

Jianxin Pan.pdf




Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Feature screening with censored data

Qihua Wang.pdf




Huichen Zhu, The Hong Kong University of Science and Technology

Conditional Quantile Random Forest with its application for predicting the risk (Post-Traumatic Stress Disorder) PTSD after experienced an acute coronary syndrome

Huichen Zhu.pdf




Chengliang Tang, Columbia University

Large-scale Spatial Predictive Modeling with Applications to Ecological Remote Sensing Data

Chengliang Tang.pdf

 


(S165) New Statistical Challenges in Biomedical Research


Chair: Yichuan Zhao, Georgia State University


Organizer: Yichuan Zhao, Georgia State University


Speakers:


Catherine Liu, The Hong Kong Polytechnic University

Weighted multiple-quantile classifiers for functional data with application in multiple sclerosis screening

Catherine Liu.pdf




Antai Wang, New Jersey Institute of Technology

Analysis of semi-competing risks data using Archimedean copula models

Antai Wang.pdf




Hanfang Yang, Renmin University of China

Two-way partial AUC and its properties

Hanfang Yang.pdf




Yangchun Zhang,Harbin Institute of Technology

Tracy-Widom law for the largest eigenvalue of sample covariance matrix generated by VARMA

Yangchun Zhang.pdf




(S166) Challenges and Analysis of Complex Data


Chair: Guofen Yan, University of Virginia


Organizer: Guofen Yan, University of Virginia


Speakers:


Hanmei Sun, Shandong Normal University

Classified mixed logistic model prediction

Hanmei Sun.pdf




Yingwei Peng, Queen's University

Examining causal effects of treatments for patients with infective endocarditis

Yingwei Peng.pdf




Wei(Peter) Yang, University of Pennsylvania

Latent Class Modeling of Longitudinal Biomarkers in Patients with Chronic Kidney Diseases

Wei(Peter) Yang.pdf




Guofen Yan, University of Virginia

Health outcomes research with electronic health records: opportunities and challenges

Guofen Yan.pdf

 


(S167) New Advances on Complex Data Analysis


Chair: Pengsheng Ji, University of Georgia


Organizer: Pengsheng Ji, University of Georgia


Speakers:


Yichuan Zhao, Georgia State University

Penalized Empirical Likelihood for the Sparse Cox Model

Yichuan Zhao.pdf




Yukun Liu, East China Normal University

Retrospective score tests versus prospective score tests for genetic association with case-control data

Yukun Liu.pdf




Yu Hu, The Hong Kong University of Science and Technology

Brain-wide organizations of neuronal activity in larval zebrafish

Yu Hu.pdf




Yuehan Yang, Central University of Finance and Economics

Interaction Pursuit Biconvex Optimization

Yuehan Yang.pdf


(S168) Complex Data Analysis in Business, Economics and Industry


Chair: Ching-Kang Ing, National Tsing Hua University


Organizer: Ching-Kang Ing, National Tsing Hua University


Speakers:


Chor-Yiu Sin, National Tsing Hua University

On selecting valid instruments for structural vector autoregression

Chor-Yiu SIN.pdf




Shu-Hui Yu, National University of Kaohsiung

Mean squared prediction errors of integrated autoregressive models with polynomial time trends

Shu-Hui Yu.pdf




Ching-Kang Ing, National Tsing Hua University

Hing-dimensional model selection under covariate shift

Ching-Kang Ing.pdf




Jun Wang, CFDA