On exact Bayesian credible sets for discrete parameters

IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Statistics & Probability Letters Pub Date : 2024-11-22 DOI:10.1016/j.spl.2024.110295
Chaegeun Song, Bing Li
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引用次数: 0

Abstract

We introduce a generalized Bayesian credible set that can achieve any preassigned credible level, addressing a limitation of the current credible sets. This is achieved by exploiting a connection between the highest posterior density set and the Neyman–Pearson lemma.
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关于离散参数的精确贝叶斯可信集
我们引入了一种广义贝叶斯可信集,它可以达到任何预先指定的可信度,解决了当前可信集的局限性。这是通过利用最高后验密度集与奈曼-皮尔逊(Neyman-Pearson)两难之间的联系实现的。
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来源期刊
Statistics & Probability Letters
Statistics & Probability Letters 数学-统计学与概率论
CiteScore
1.60
自引率
0.00%
发文量
173
审稿时长
6 months
期刊介绍: Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
期刊最新文献
Editorial Board On exact Bayesian credible sets for discrete parameters The heavy-tail behavior of the difference of two dependent random variables A supplement to the large deviations of infinite weighted sums of heavy tailed random variables On harmonic oscillator hazard functions
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