Latent Variable Models for Analyzing Exchangeable Binary Data with Random Cluster Sizes

报告人：赵慧秀
报告地点：数学与统计学院415报告厅
报告时间：2018年09月20日星期四16:00-17:00
报告摘要：

In this paper, we consider latent variable models with random effects to analyze exchangeable binary data with random cluster sizes. Based on this procedure, we can obtain the approximate likelihood estimates of exchangeable binary data by using MC method. Then we can make further inference on the exchangeable binary data based on likelihood procedure. For example, we can select an appropriate model to fit the exchangeable binary data by using AIC and BIC. Theoretical results are obtained establishing the large sample properties of the parameter estimates. An application is made to a data set from a developmental toxicity study. Simulation results further show that our method is valid.

主讲人简介：
2009年博士毕业于东北师范大学，2010-2012东南大学博士后工作，现服务于南京理工大学理学院，曾先后访问留学香港浸会大学，英国曼彻斯特大学。发表SCI论文多篇；曾主持完成一项国家自然科学基金青年基金项目，主持完成中国博士后基金和江苏省博士后基金，参与多项国家自然科学基金。