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501 Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-143B
Bayesian Penalized Likelihood Methods for Gaussian Graphical Models — Invited Papers
Section on Bayesian Statistical Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Abhra Sarkar, The University of Texas at Austin
Chair(s): TBD TBD, TBD
8:35 AM New Directions in Bayesian Shrinkage for Structure Learning
Ksheera Sagar K. N. , Purdue University; Sayantan Banerjee, Indian Institute of Management Indore; Jyotishka Datta, Virginia Tech; Anindya Bhadra, Purdue University
9:05 AM Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models
Noirrit Kiran Chandra, The University of Texas at Austin; Abhra Sarkar, The University of Texas at Austin; Peter Mueller, The University of Texas at Austin
9:35 AM Quantile Graphical Models: A Bayesian Approach
Nilabja Guha, University of Massachusetts Lowell; Veera Baladandayuthapani, University of Michigan; Bani Mallick, Texas A&M University
10:05 PM Floor Discussion