Ray Bai
Ray Bai
Department of Statistics, University of South Carolina
Потвърден имейл адрес: mailbox.sc.edu - Начална страница
Forecasting urban household water demand with statistical and machine learning methods using large space-time data: A Comparative study
I Duerr, HR Merrill, C Wang, R Bai, M Boyer, MD Dukes, N Bliznyuk
Environmental Modelling & Software 102, 29-38, 2018
Spike-and-slab group lassos for grouped regression and sparse generalized additive models
R Bai, GE Moran, JL Antonelli, Y Chen, MR Boland
Journal of the American Statistical Association 117, 184–197, 2022
High-dimensional multivariate posterior consistency under global–local shrinkage priors
R Bai, M Ghosh
Journal of Multivariate Analysis 167, 157-170, 2018
Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO
R Bai, V Ročková, EI George
Handbook of Bayesian Variable Selection, 81-108, 2021
VCBART: Bayesian trees for varying coefficients
SK Deshpande, R Bai, C Balocchi, JE Starling, J Weiss
arXiv preprint arXiv:2003.06416, 2020
Large-Scale Multiple Hypothesis Testing with the Normal-Beta Prime Prior
R Bai, M Ghosh
Statistics 53, 1210-1233, 2019
On the beta prime prior for Scale Parameters in High-Dimensional Bayesian Regression models
R Bai, M Ghosh
Statistica Sinica 31, 843-865, 2021
Individual-Level and Neighborhood-Level Risk Factors for Severe Maternal Morbidity
JR Meeker, SP Canelón, R Bai, LD Levine, MR Boland
Obstetrics & Gynecology 137, 847-854, 2021
Fast Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models
R Bai, MR Boland, Y Chen
arXiv preprint arXiv 1907.06477, 2019
Association of Neighborhood-Level Factors and COVID-19 Infection Patterns in Philadelphia Using Spatial Regression
MR Boland, J Liu, C Balocchi, J Meeker, R Bai, I Mellis, DL Mowery, ...
AMIA Annual Symposium Proceedings 2021, 545-554, 2021
Spike-and-Slab Group Lasso for Consistent Estimation and Variable Selection in Non-Gaussian Generalized Additive Models
R Bai
arXiv preprint arXiv:2007.07021, 2020
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
R Bai, L Lin, MR Boland, Y Chen
arXiv preprint arXiv:2005.02930, 2020
Neighborhood deprivation increases the risk of Post-induction cesarean delivery
JR Meeker, HH Burris, R Bai, LD Levine, MR Boland
Journal of the American Medical Informatics Association 29, 329-334, 2022
Generative Quantile Regression with Variability Penalty
S Wang, M Shin, R Bai
arXiv preprint arXiv:2301.03661, 2023
Corrigendum to “High-dimensional multivariate posterior consistency under global-local shrinkage priors”[J. Multivariate Anal. 167 (2018) 157-170]
SH Wang, R Bai, HH Huang
Uncovering Patterns for Adverse Pregnancy Outcomes with Spatial Analysis: Evidence from Philadelphia
C Balocchi, R Bai, J Liu, SP Canelón, EI George, Y Chen, MR Boland
arXiv preprint arXiv:2105.04981, 2022
Mixed-type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
SH Wang, R Bai, HH Huang
Bayesian Modal Regression based on Mixture Distributions
Q Liu, X Huang, R Bai
arXiv preprint arXiv:2211.10776, 2022
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions
R Bai, X Liu, L Lin, Y Liu, SE Kimmel, H Chu, Y Chen
arXiv preprint arXiv:2110.08849, 2021
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