報告題目：A Unified Approach for Bayesian Envelope Models
報告時間：2019年7月1日（星期一）16:00
報告地點：北辰校區(qū)理學院西教五416
報告嘉賓：Su Zhihua
報告概要：The envelope model is a nascent construct that aims to increase efficiency in multivariate analysis. It has been used in many contexts including linear regression, generalized linear models, matrix/tensor variate regression, reduced rank regression, and quantile regression, and has showed the potential to provide substantial efficiency gains. Virtually all of these advances, however, have been made from a frequentist perspective, and the literature addressing envelope models from a Bayesian point of view is sparse. The objective of this talk is to propose a Bayesian framework that is applicable across various envelope model contexts. The proposed framework aids straightforward interpretation of model parameters and allows easy incorporation of prior information. We provide a simple block Metropolis-within-Gibbs MCMC sampler for practical implementation of our method.
嘉賓簡介：Su Zhihua, 2006年于復旦大學數(shù)學系獲學士學位，2012年于明尼蘇達大學統(tǒng)計系獲博士學位?，F(xiàn)為佛羅里達大學統(tǒng)計系 Associate Professor。主要從事多元分析、數(shù)據降維、模型選擇等方面的研究工作。已經在Annals of Statistics、Biometrika、Journal of the Royal Statistical Society: Series B 等期刊發(fā)表論文近20篇。
