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09/15/2023
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
This paper aims to examine the characteristics of the posterior distribu...
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08/21/2023
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate
We introduce a new small area predictor when the Fay-Herriot normal erro...
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05/23/2023
High-dimensional Posterior Consistency in Multi-response Regression models with Non-informative Priors for Error Covariance Matrix
The Inverse-Wishart (IW) distribution is a standard and popular choice o...
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02/11/2022
Posterior Consistency for Bayesian Relevance Vector Machines
Statistical modeling and inference problems with sample sizes substantia...
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02/11/2022
High-dimensional properties for empirical priors in linear regression with unknown error variance
We study full Bayesian procedures for high-dimensional linear regression...
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04/25/2021
Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation
Currently several Bayesian approaches are available to estimate large sp...
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03/06/2021
Transformed Fay-Herriot Model with Measurement Error in Covariates
Statistical agencies are often asked to produce small area estimates (SA...
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04/09/2019
Ultra High-dimensional Multivariate Posterior Contraction Rate Under Shrinkage Priors
In recent years, shrinkage priors have received much attention in high-d...
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03/08/2019
Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
Estimation of the covariance matrix for high-dimensional multivariate da...
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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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11/30/2017
Bayes Minimax Competitors of Preliminary Test Estimators in k Sample Problems
In this paper, we consider the estimation of a mean vector of a multivar...
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11/29/2017
Bayesian Simultaneous Estimation for Means in k Sample Problems
This paper is concerned with the simultaneous estimation of k population...
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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