5 papers
Bayesian Group Regularization in Generalized Linear Models with a Continuous Spike-and-Slab Prior
Ray Bai
We study Bayesian group-regularized estimation in high-dimensional generalized linear models (GLMs) under a continuous spike-and-slab prior. Our framework covers both canonical and…
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
Shao-Hsuan Wang, Ray Bai, Hsin-Hsiung Huang
We introduce a Bayesian framework for mixed-type multivariate regression using continuous shrinkage priors. Our framework enables joint analysis of mixed continuous and discrete ou…
VCBART: Bayesian trees for varying coefficients
Sameer K. Deshpande, Ray Bai, Cecilia Balocchi +2
The linear varying coefficient models posits a linear relationship between an outcome and covariates in which the covariate effects are modeled as functions of additional effect mo…
A Unified Three-State Model Framework for Analysis of Treatment Crossover in Survival Trials
Zile Zhao, Ye Li, Xiaodong Luo +1
We present a unified three-state model (TSM) framework for evaluating treatment effects in clinical trials in the presence of treatment crossover. Researchers have proposed diverse…
Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
Cecilia Balocchi, Ray Bai, Jessica Liu +4
Stillbirth and preterm birth are major public health challenges. Using a Bayesian spatial model, we quantified patient-specific and neighborhood risks of stillbirth and preterm bir…