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09/15/2023
Heteroscedastic sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Sparse linear regression methods for high-dimensional data often assume ...
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01/09/2023
Generative Quantile Regression with Variability Penalty
Quantile regression and conditional density estimation can reveal struct...
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01/30/2022
On the proof of posterior contraction for sparse generalized linear models with multivariate responses
In recent years, the literature on Bayesian high-dimensional variable se...
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10/17/2021
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions
Multivariate meta-analysis (MMA) is a powerful tool for jointly estimati...
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05/11/2021
A Bayesian Hierarchical Modeling Framework for Geospatial Analysis of Adverse Pregnancy Outcomes
Studying the determinants of adverse pregnancy outcomes like stillbirth ...
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10/13/2020
Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO
High-dimensional data sets have become ubiquitous in the past few decade...
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07/14/2020
A Unified Computational and Theoretical Framework for High-Dimensional Bayesian Additive Models
We introduce a general framework for estimation and variable selection i...
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05/06/2020
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
The validity of conclusions from meta-analysis is potentially threatened...
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03/13/2020
VC-BART: Bayesian trees for varying coefficients
The linear varying coefficient (VC) model generalizes the conventional l...
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07/15/2019
Fast Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models
Nonparametric varying coefficient (NVC) models are widely used for model...
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03/05/2019
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimati...
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07/17/2018
On the Beta Prime Prior for Scale Parameters in High-Dimensional Bayesian Regression Models
We study high-dimensional Bayesian linear regression with a general beta...
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07/04/2018
Large-Scale Multiple Hypothesis Testing with the Normal-Beta Prime Prior
We revisit the problem of simultaneously testing the means of n independ...
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11/21/2017
High-Dimensional Multivariate Posterior Consistency Under Global-Local Shrinkage Priors
We consider sparse Bayesian estimation in the classical multivariate lin...
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10/12/2017
