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The Annals of Statistics
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Admissible Decision Rules for the Compound Decision Problem: The Two-Action Two-State Case

Admissible decision rules for the compound decision problem: The two- action two-state case
Authors: Inglis, James;

Admissible Decision Rules for the Compound Decision Problem: The Two-Action Two-State Case

Abstract

For the two-action two-state compound decision problem, a class of decision rules is found that are both asymptotically optimal and admissible at each stage $n$. These rules are Bayes rules with respect to appropriate exchangeable prior distributions.

Keywords

Compound decision problem, asymptotically optimal Bayes decision rules, compound decision problem, two-action two-state case, exchangeable prior distributions, Bayesian problems; characterization of Bayes procedures, Compound decision problems in statistical decision theory, decision theory, admissibility, 62C15, exchangeable random variables, Admissibility in statistical decision theory, 62C25

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid