42 citations · 54 across the 4 of their papers we have counts for
4 papers
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…
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
Ray Bai, Lifeng Lin, Mary R. Boland +1
The validity of conclusions from meta-analysis is potentially threatened by publication bias. Most existing procedures for correcting publication bias assume normality of the study…
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
Ray Bai, Mary R. Boland, Yong Chen
Nonparametric varying coefficient (NVC) models are useful for modeling time-varying effects on responses that are measured repeatedly for the same subjects. When the number of cova…
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Ray Bai, Gemma E. Moran, Joseph Antonelli +2
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables. We further extend the SSGL to sparse…