学术报告
Bayesian Inference for Mean-Covariance Regression Models with Clustered Data
作者：
时间： 2015-11-05
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题目：Bayesian Inference for Mean-Covariance Regression Models with Clustered Data
报告人：沈俊山 博士 （北京大学77779193永利官网）
摘要：In this paper, we propose a mean-covariance regression model for clustered data. A mixture model is used to describe the non-normal distribution of the regression errors. An adjusted Dirichlet process is constructed with the empirical likelihood method and it can be used as a prior for mixing distributions with given mean-covariance structure. Two simulation studies are conducted to evaluate the performance of the proposed method. Finally, the proposed method is applied to analyze the data from a sleep deprivation study.
时间：11月5日（周四）上午10:30-11:30
地点：首都师大北一区文科楼 707 教室
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