3 papers
stat.ME2026
Posterior Mode-Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
Shamriddha De, Joyee Ghosh
For large model spaces in linear regression with spike-and-slab priors, the potential entrapment of Markov chain Monte Carlo (MCMC)-based methods poses significant challenges in po…
stat.ME2025
Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
Joyee Ghosh, Xun Li
We consider the problem of variable selection in Bayesian multivariate linear regression models, involving multiple response and predictor variables, under multivariate normal erro…
stat.ME2015
On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
Joyee Ghosh, Yingbo Li, Robin Mitra
In logistic regression, separation occurs when a linear combination of the predictors can perfectly classify part or all of the observations in the sample, and as a result, finite…