Choosing between two unknown intervals: an empirical bayes testing approach to a classification problem

DOI10.1080/03610929508831672zbMath0875.62038OpenAlexW1963813148MaRDI QIDQ4337129

Françoise Brouaye

Publication date: 10 November 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831672

zbMATH Keywords

mixture densitiesempirical Bayes testing

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

• Unnamed Item
• On the empirical Bayes approach to multiple decision problems with sequential components
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• On the empirical Bayes approach to multiple decision problems
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• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Optimal Rates of Convergence for Deconvolving a Density
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• The Empirical Bayes Approach to Statistical Decision Problems
• Estimation of a Probability Density Function and Its Derivatives
• Convergence Rates for Empirical Bayes Two-Action Problems II. Continuous Case
• Convergence Rates for Empirical Bayes Two-Action Problems I. Discrete Case

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