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06/26/2022
Scalable and optimal Bayesian inference for sparse covariance matrices via screened beta-mixture prior
In this paper, we propose a scalable Bayesian method for sparse covarian...
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03/14/2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models
Variable selection methods with nonlocal priors have been widely studied...
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03/14/2022
Consistent and scalable Bayesian joint variable and graph selection for disease diagnosis leveraging functional brain network
We consider the joint inference of regression coefficients and the inver...
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12/05/2021
Bayesian Optimal Two-sample Tests in High-dimension
We propose optimal Bayesian two-sample tests for testing equality of hig...
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09/24/2021
Scalable Bayesian high-dimensional local dependence learning
In this work, we propose a scalable Bayesian procedure for learning the ...
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03/11/2021
Estimation of Conditional Mean Operator under the Bandable Covariance Structure
We consider high-dimensional multivariate linear regression models, wher...
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01/12/2021
The Beta-Mixture Shrinkage Prior for Sparse Covariances with Posterior Minimax Rates
Statistical inference for sparse covariance matrices is crucial to revea...
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11/25/2020
Post-Processed Posteriors for Banded Covariances
We consider Bayesian inference of banded covariance matrices and propose...
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08/30/2020
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors
We consider a sparse linear regression model with unknown symmetric erro...
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08/14/2020
Bayesian joint inference for multiple directed acyclic graphs
In many applications, data often arise from multiple groups that may sha...
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04/20/2020
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates
We consider the joint sparse estimation of regression coefficients and t...
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04/17/2020
Bayesian inference for high-dimensional decomposable graphs
In this paper, we consider high-dimensional Gaussian graphical models wh...
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12/04/2019
Bayesian Group Selection in Logistic Regression with Application to MRI Data Analysis
We consider Bayesian logistic regression models with group-structured co...
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11/15/2018
Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors
In this paper, we study the high-dimensional sparse directed acyclic gra...
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09/10/2018
Maximum Pairwise Bayes Factors for Covariance Structure Testing
Hypothesis testing of structure in covariance matrices is of significant...
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04/23/2018