广义线性混合模型的 R2D2 先验

IF 1.8 4区数学 Q1 STATISTICS & PROBABILITY

American Statistician Pub Date : 2024-05-09 DOI:10.1080/00031305.2024.2352010

Eric Yanchenko, Howard D. Bondell, Brian J. Reich

引用次数: 0

摘要

在贝叶斯分析中，先验分布的选择通常是通过考虑模型中的每个参数来完成的。虽然这样做很方便，但在许多情况下，最好还是将先验分布置于模型中的每一个参数上。

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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The R2D2 prior for generalized linear mixed models

In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to plac...

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来源期刊

American Statistician 数学-统计学与概率论

CiteScore

3.50

自引率

5.60%

发文量

审稿时长

>12 weeks

期刊介绍： Are you looking for general-interest articles about current national and international statistical problems and programs; interesting and fun articles of a general nature about statistics and its applications; or the teaching of statistics? Then you are looking for The American Statistician (TAS), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher''s Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.