报告人：耿淑莉

报告时间：2022年11月15日

报告文章：Penalized empirical likelihood for generalized linear models with longitudinal data

（Xiaoyan Tan & Li Yan）

摘要：

Penalized empirical likelihood for generalized linear models with longitudinal data is considered. It is shown that the penalized empirical likelihood estimators have the oracle property. Also, we conclude that the asymptotic distribution of penalized empirical likelihood ratio test statistic is a chi-square distribution. The finite sample performance of the proposed method is evaluated by some simulations and a real data example.