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