4 papers
Bayesian High-dimensional Grouped-regression using Sparse Projection-posterior
Samhita Pal, Subhashis Ghosal
We present a novel Bayesian approach for high-dimensional grouped regression under sparsity. We leverage a sparse projection method that uses a sparsity-inducing map to derive an i…
Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
Samhita Pal, Subhashis Ghoshal
We consider a novel Bayesian approach to estimation, uncertainty quantification, and variable selection for a high-dimensional linear regression model under sparsity. The number of…
Discovering Candidate Genes Regulated by GWAS Signals in Cis and Trans
Samhita Pal, Xinge Jessie Jeng
Understanding the genetic underpinnings of complex traits and diseases has been greatly advanced by genome-wide association studies (GWAS). However, a significant portion of trait…
Coverage of Credible Sets for Regression under Variable Selection
Samhita Pal, Subhashis Ghosal
We study the asymptotic frequentist coverage of credible sets based on a novel Bayesian approach for a multiple linear regression model under variable selection. We initially ignor…