Hypothesis testClassical statistics
贝叶斯卡方检验
贝叶斯卡方检验使用贝叶斯因子而非经典p值来评估频率表中的独立性或拟合优度。它量化了分类变量之间关联的证据（支持或反对），通过观察到的计数更新先验信念，并提供一个类似优势比的指标，区分“无证据”与“无效应证据”。
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来源
- Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418. DOI: 10.1111/j.2517-6161.1967.tb00705.x ↗
- 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 Chi-Square Test of Independence. ScholarGate. https://scholargate.app/zh/statistics/bayesian-chi-square-test
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