Bayes factors for longitudinal model assessment via power posteriors

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-16 DOI:10.1080/03610918.2024.2399159

Gabriel Calvo, Carmen Armero, Luigi Spezia, Maria Grazia Pennino

引用次数: 0

Abstract

Bayes factor, defined as the ratio of the marginal likelihood functions of two competing models, is the natural Bayesian procedure for model selection. Marginal likelihoods are usually computationa...

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通过功率后验评估纵向模型的贝叶斯系数

贝叶斯因子定义为两个竞争模型的边际似然函数之比，是贝叶斯模型选择的自然程序。边际似然通常是通过计算得到的。

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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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.