activity
20172024
most citedHigh-Dimensional Multivariate Posterior Consistency Under Global-Local Shrinkage Priors

47 citations · 175 across the 14 of their papers we have counts for

collaborators

14 papers

stat.ME2024

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…

stat.ME2023

Generative Quantile Regression with Variability Penalty

Shijie Wang, Minsuk Shin, Ray Bai

Quantile regression and conditional density estimation can reveal structure that is missed by mean regression, such as multimodality and skewness. In this paper, we introduce a dee…

math.ST2022★ 1 cited

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…

stat.AP2021★ 1 cited

A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions

Ray Bai, Xiaokang Liu, Lifeng Lin +4

Multivariate meta-analysis (MMA) is a powerful tool for jointly estimating multiple outcomes' treatment effects. However, the validity of results from MMA is potentially compromise…

stat.AP2021★ 1 cited

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…

stat.ME2020★ 42 cited

Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO

Ray Bai, Veronika Rockova, Edward I. George

High-dimensional data sets have become ubiquitous in the past few decades, often with many more covariates than observations. In the frequentist setting, penalized likelihood metho…