分层计数数据的贝叶斯收缩估计

IF 1.1 Q3 STATISTICS & PROBABILITY

Japanese Journal of Statistics and Data Science Pub Date : 2023-11-14 DOI:10.1007/s42081-023-00224-z

Hamura, Yasuyuki

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引用次数: 2

摘要

在这篇简短的笔记中，我们考虑了当聚合数据中的侧信息可用时，在平方误差损失下估计多元超几何参数的问题。利用对称多项式先验得到贝叶斯估计量。结果表明，通过引入侧信息，我们可以构造一个改进的估计量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian shrinkage estimation for stratified count data

In this short note, we consider the problem of estimating multivariate hypergeometric parameters under squared error loss when side information in aggregated data is available. We use the symmetric multinomial prior to obtain Bayes estimators. It is shown that by incorporating the side information, we can construct an improved estimator.

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来源期刊

Japanese Journal of Statistics and Data Science STATISTICS & PROBABILITY-

CiteScore

2.00

自引率

15.40%

发文量