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* = applied session       ! = JSM meeting theme

Activity Details

477 * Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-336
Bayesian Methods for High-Dimensional Inference — Invited Papers
IMS , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Statistical Learning and Data Science
Organizer(s): David Dunson, Duke University
Chair(s): David Dunson, Duke University
10:35 AM Clustering High-Dimensional Data Using Summary Statistics Valen Johnson, Texas A&M University
11:00 AM Bayesian Partition Logistic Regression Models Jun Liu, Harvard University
11:25 AM High-Dimensional Linear Regression via the R-Squared Induced Dirichlet Decomposition Prior Howard Bondell, NC State University ; Brian Reich, NCSU ; Yan Dora Zhang, Johns Hopkins
11:50 AM Nonparametric Maximum Likelihood Approximate Message Passing — Lee Dicker, Rutgers University ; Ruijun Ma, Rutgers University
12:15 PM Floor Discussion
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