research
∙
03/01/2023
Posterior Robustness with Milder Conditions: Contamination Models Revisited
Robust Bayesian linear regression is a classical but essential statistic...
share
research
∙
02/20/2023
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions
Sampling from matrix generalized inverse Gaussian (MGIG) distributions i...
research
∙
01/15/2023
A Simple Proof of Posterior Robustness
Conditions for Bayesian posterior robustness have been examined in recen...
research
∙
08/21/2022
Bayesian Estimation for the Multivariate Hypergeometric Distribution Incorporating Information from Aggregated Observations
In this short note, we consider the problem of estimating multivariate h...
research
∙
08/10/2022
Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
Isotonic regression or monotone function estimation is a problem of esti...
research
∙
05/08/2022
Bayesian Estimation of Multinomial Cell Probabilities Incorporating Information from Aggregated Observations
In this note, we consider the problem of estimating multinomial cell pro...
research
∙
03/16/2022
Sparse Bayesian Inference on Positive-valued Data using Global-local Shrinkage Priors
In various applications, we deal with high-dimensional positive-valued d...
research
∙
03/03/2022
On Data Augmentation for Models Involving Reciprocal Gamma Functions
In this paper, we introduce a new and efficient data augmentation approa...
research
∙
12/25/2021
Bayesian Shrinkage Estimation for Stratified Count Data
In this paper, we consider the problem of simultaneously estimating Pois...
research
∙
06/19/2021
Robust Hierarchical Modeling of Counts under Zero-inflation and Outliers
Count data with zero inflation and large outliers are ubiquitous in many...
research
∙
02/28/2021
Bayesian Point Estimation and Predictive Density Estimation for the Binomial Distribution with a Restricted Probability Parameter
In this paper, we consider Bayesian point estimation and predictive dens...
research
∙
10/07/2020
Bayesian Shrinkage Approaches to Unbalanced Problems of Estimation and Prediction on the Basis of Negative Multinomial Samples
In this paper, we treat estimation and prediction problems where negativ...
research
∙
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...
research
∙
05/06/2020
Log-Regularly Varying Scale Mixture of Normals for Robust Regression
Linear regression with the classical normality assumption for the error ...
research
∙
01/27/2020
Bayesian Shrinkage Estimation of Negative Multinomial Parameter Vectors
The negative multinomial distribution is a multivariate generalization o...
research
∙
01/23/2020
Shrinkage with Robustness: Log-Adjusted Priors for Sparse Signals
We introduce a new class of distributions named log-adjusted shrinkage p...
research
∙
07/02/2019
