Empirical Bayes rules for selecting the most and least probable multivariate hypergeometric event
type: Item
instance of: scholarly article
title: Empirical Bayes rules for selecting the most and least probable multivariate hypergeometric event
zbMATH Open document ID: 0852.62008
DOI: 10.1016/0167-7152(95)00062-3
author: Yimin Ma
author: Narayanaswamy Balakrishnan
published in: Statistics \& Probability Letters
publication date: 1996-11-12T00:00:00Z
Mathematics Subject Classification ID: 62C12
zbMATH DE Number: 896075
zbMATH Keywords: Bayes rules
zbMATH Keywords: most probable event
zbMATH Keywords: multivariate hypergeometric population
zbMATH Keywords: least probable event
zbMATH Keywords: multinomial prior
zbMATH Keywords: unknown hyperparameters
zbMATH Keywords: empirical Bayes selection rules
zbMATH Keywords: minimum Bayes risk
zbMATH Keywords: rate of convergence
MaRDI profile type: Publication
full work available at URL: 0167-7152(95)00062-3
OpenAlex ID: W2052343608
cites work: Bayes Empirical Bayes
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cites work: Probability Inequalities for Sums of Bounded Random Variables
cites work: Q3239675
cites work: The Empirical Bayes Approach to Statistical Decision Problems
cites work: Some thoughts on empirical Bayes estimation
description: scientific article; zbMATH DE number 896075