Hypothesis testClassical statistics
贝叶斯交叉制表分析
贝叶斯交叉制表分析通过计算贝叶斯因子来检验两个分类变量是否相关，该因子量化了对关联模型相对于独立性模型的证据。与经典的卡方检验不同，它提供了一个连续的证据度量，直接支持零假设，并能自然地根据单元格概率的先验知识进行更新。
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来源
- Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. DOI: 10.1093/biomet/61.3.545 ↗
- Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default Gunel and Dickey Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638–652. DOI: 10.3758/s13428-016-0739-8 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Contingency Table Analysis. ScholarGate. https://scholargate.app/zh/statistics/bayesian-cross-tabulation-analysis
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