Regression modelRegression / GLM
贝叶斯混合效应模型
贝叶斯混合效应模型将经典混合效应框架通过为所有参数——固定效应、随机效应方差和残差方差——设定先验分布，并利用数据更新这些参数以产生完整的后验分布，从而进行了扩展。这为总体水平和分组水平的效应提供了连贯的不确定性量化。
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来源
- Gelman, A., & Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. ISBN: 978-0521686891
- Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1–48. DOI: 10.18637/jss.v067.i01 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Mixed Effects Model. ScholarGate. https://scholargate.app/zh/statistics/bayesian-mixed-effects-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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