Minimax Simple Bayes Estimators of a Normal Variance

ABSTRACT This paper is a follow‐up to an earlier study, which identified a new class of generalized Bayes estimators with a particularly simple form for estimating a normal variance under entropy loss. Although the previous work established the Bayesianity of these estimators, it did not provide a closed‐form result for their minimaxity. In this paper, we revisit the problem and establish a definitive closed‐form minimaxity result for this class of simple Bayes estimators.

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Journal
Stat
Published
2026-04-16
DOI
https://doi.org/10.1002/sta4.70155
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Minimax Simple Bayes Estimators of a Normal Variance

Yuzo Maruyama
Stat
Statistical Distribution Estimation and Applications
article

Minimax Simple Bayes Estimators of a Normal Variance

Yuzo Maruyama
article en

Abstract

ABSTRACT This paper is a follow‐up to an earlier study, which identified a new class of generalized Bayes estimators with a particularly simple form for estimating a normal variance under entropy loss. Although the previous work established the Bayesianity of these estimators, it did not provide a closed‐form result for their minimaxity. In this paper, we revisit the problem and establish a definitive closed‐form minimaxity result for this class of simple Bayes estimators.

StatVol. 15(2)
Chiba University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 7%
Statistical Distribution Estimation and Applications
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