学术报告(宋心远 1.18)

Recent advances in modeling complex data with latent variables

发布人:周妍 发布日期:2018-12-28
主题
Recent advances in modeling complex data with latent variables
活动时间
-
活动地址
新数学楼416
主讲人
宋心远 教授 香港中文大学

摘要:This talk introduces joint modeling approaches for analyzing complex data with latent variables. Several statistical models, including scalar-on-imaging regression model, two-part model, and additive mean residual life model, are considered to analyze imaging data, zero inflated or semi-continuous data, and time-to-event data in the presence of latent variables. The Bayesian approach and estimating equation method are used to conduct statistical inference. Several real applications to medical and financial studies are presented.

 

数学学院

2018年12月28日