All Times EDT
Legend: CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
Activity Details
424
Wed, 8/10/2022,
10:30 AM -
12:20 PM
CC-204C
Priors and Model Specifications for Variable and Feature Selection — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Anupreet Porwal, University of Washington
10:35 AM
Extending the Spike-and-Slab Lasso for Generalized Linear Models to Accommodate Multinomial Outcomes
Justin M Leach, University of Alabama at Birmingham ; Nengjun Yi, University of Alabama at Birmingham; Inmaculada A Aban, The University of Alabama at Birmingham
10:50 AM
Using Log Cauchy Priors for Modeling Sparsity
Zihan Zhu, The University of Arizona ; Xueying Tang, The university of Arizona
11:05 AM
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction
Joyee Ghosh, The University of Iowa
11:20 AM
A Bayesian Linear Mixed Model for Bi-Level Feature Selection
Daniel Baer, University of Pennsylvania ; Andrew Booth Lawson, Medical University of South Carolina; Yeonhee Park, University of Wisconsin-Madison; Sharon Xie, University of Pennsylvania ; Andreana Benitez , Medical University of South Carolina; The ADNI, The Alzheimer's Disease Neuroimaging Initiative
11:35 AM
A Bayesian Methodology for Estimation for Sparse Canonical Correlation
Siddhesh Kulkarni, University of Louisville ; Subhadip Pal, University of Louisville; Jeremy Gaskins, University of Louisville
11:50 AM
For High-Dimensional Hierarchical Models, Consider Exchangeability of Effects Across Covariates Instead of Across Data Sets
Brian Trippe, Massachusetts Institute of Technology ; Hilary Finucane, Broad Institute; Tamara Broderick, Massachusetts Institute of Technology
12:05 PM
Floor Discussion
