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05/06/2023
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
Factor analysis provides a canonical framework for imposing lower-dimens...
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12/31/2021
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials
The availability of electronic health records (EHR) has opened opportuni...
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07/23/2021
Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models
Gaussian graphical models are popular tools for studying the dependence ...
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06/04/2020
Bayesian clustering of high-dimensional data
In many applications, it is of interest to cluster subjects based on ver...
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04/30/2020
High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
In this article, we investigate the asymptotic properties of Bayesian mu...
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11/10/2017