Ray Bai
Cited by
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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
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
On the beta prime prior for Scale Parameters in High-Dimensional Bayesian Regression models
R Bai, M Ghosh
Statistica Sinica 31, 843-865, 2021
Large-Scale Multiple Hypothesis Testing with the Normal-Beta Prime Prior
R Bai, M Ghosh
Statistics 53, 1210-1233, 2019
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
R Bai, MR Boland, Y Chen
Journal of Machine Learning Research 24 (259), 1-49, 2023
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
Bayesian group regularization in generalized linear models with a continuous spike-and-slab prior. arXiv pre-print
R Bai
arXiv preprint arXiv:2007.07021, 2023
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
Journal of Computational and Graphical Statistics, 1-21, 2024
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
SH Wang, R Bai, HH Huang
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
Fast Bootstrapping Nonparametric Maximum Likelihood for Latent Mixture Models
S Wang, M Shin, R Bai
IEEE Signal Processing Letters 31, 870-874, 2024
Uncovering patterns for adverse pregnancy outcomes with a Bayesian spatial model: Evidence from Philadelphia
C Balocchi, R Bai, J Liu, SP Canelón, EI George, Y Chen, MR Boland
Bayesian Modal Regression based on Mixture Distributions
Q Liu, X Huang, R Bai
arXiv preprint arXiv:2211.10776, 2022
Neural-g: A Deep Learning Framework for Mixing Density Estimation
S Wang, S Chakraborty, Q Qin, R Bai
arXiv e-prints, arXiv: 2406.05986, 2024
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