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08/19/2022
Consistent Bayesian Information Criterion Based on a Mixture Prior for Possibly High-Dimensional Multivariate Linear Regression Models
In the problem of selecting variables in a multivariate linear regressio...
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08/13/2021
Generalized Bayes Estimators with Closed forms for the Normal Mean and Covariance Matrices
In the estimation of the mean matrix in a multivariate normal distributi...
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05/17/2021
General Unbiased Estimating Equations for Variance Components in Linear Mixed Models
This paper introduces a general framework for estimating variance compon...
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06/12/2020
Bayesian Predictive Density Estimation for a Chi-squared Model Using Information from a Normal Observation with Unknown Mean and Variance
In this paper, we consider the problem of estimating the density functio...
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01/27/2020
Bayesian Shrinkage Estimation of Negative Multinomial Parameter Vectors
The negative multinomial distribution is a multivariate generalization o...
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10/26/2019
Ridge-type Linear Shrinkage Estimation of the Matrix Mean of High-dimensional Normal Distribution
The estimation of the mean matrix of the multivariate normal distributio...
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04/26/2018
Corrected Empirical Bayes Confidence Region in a Multivariate Fay-Herriot Model
In the small area estimation, the empirical best linear unbiased predict...
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04/26/2018
On Measuring the Variability of Small Area Estimators in a Multivariate Fay-Herriot Model
This paper is concerned with the small area estimation in the multivaria...
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04/26/2018
Empirical Best Linear Unbiased Predictors in Multivariate Nested-Error Regression Models
For analyzing unit-level multivariate data in small area estimation, we ...
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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