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Updated: Jul 25, 2025

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对一般化的线性混合模型的贝叶斯模型选择

Shuangshuang Xu1, Marco A R Ferreira1, Erica M Porter1

  • 1Department of Statistics, Virginia Tech, Blacksburg, Virginia, USA.

Biometrics
|June 27, 2023
PubMed
概括

本研究引入了针对一般化线性混合模型 (GLMMs) 的新贝叶斯模型选择,使用伪概率近似和分数贝叶斯因子来进行复杂数据分析中准确的模型比较.

关键词:
大致的先前参考值.分数的贝叶斯因子.一般化的线性混合模型.模型选择,模型选择.伪概率方法 伪概率方法

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