Empirical Bayes rules for selecting the most and least probable multivariate hypergeometric event

DOI10.1016/0167-7152(95)00062-3zbMath0852.62008OpenAlexW2052343608MaRDI QIDQ1916188

Yimin Ma, Narayanaswamy Balakrishnan

Publication date: 12 November 1996

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00062-3

zbMATH Keywords

rate of convergenceminimum Bayes riskBayes rulesunknown hyperparametersempirical Bayes selection rulesleast probable eventmost probable eventmultinomial priormultivariate hypergeometric population

Mathematics Subject Classification ID

Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Monotone empirical Bayes tests for a discrete normal distribution

Cites Work

• Some thoughts on empirical Bayes estimation
• Selecting the best binomial population: Parametric empirical Bayes approach
• Bayes Empirical Bayes
• Probability Inequalities for Sums of Bounded Random Variables
• The Empirical Bayes Approach to Statistical Decision Problems
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