Bayesian Methods for Variable Selection and High Dimensional Problems.

Mon, Aug 7, 8:30 AM

Christopher HansChair

Section on Bayesian Statistical Science

7 Presentations

WITHDRAWN Bayesian Covariate-Dependent Scalar-on-Image Regression Models for Multi-view Prediction

8:35 AM - 8:50 AM

Co-authors: Nilanjana Chakraborty, Suprateek Kundu, Qi Long

Double-robust Bayesian variable selection and model prediction with spherically symmetric errors

8:50 AM - 9:05 AM

Min Wang (University of Texas At San Antonio)

Co-authors: Linhan Ouyang (Nanjing University of Aeronautics and Astronautics), Baoping Tao (Nanjing University of Aeronautics and Astronautics), Lijun Liu (Nanjing University of Science and Technology), Minghe Sun (The University of Texas at San Antonio)

High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors

9:05 AM - 9:20 AM

Sharmistha Guha (Texas A&M University)

Co-authors: Abel Rodriguez (University of Washington)

Monotone Dose-Response model with Bayesian Shrinkage Prior

9:20 AM - 9:35 AM

Tian Xie

Co-authors: Philip Boonstra (University of Michigan), Krithika Suresh, Matthew Schipper (University of Michigan)

Parameter Expanded Variational Bayes for Sparse High-Dimensional Linear Regression

9:35 AM - 9:50 AM

Alexander McLain (University of South Carolina)

Slgf: a user-friendly R package for Bayesian model selection with latent groups & heteroscedasticity