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Hypothesis testClassical statistics

贝叶斯费舍尔精确检验

贝叶斯费舍尔精确检验通过计算贝叶斯因子而非p值来评估2x2表格中两个分类变量之间的独立性。使用单元格概率的共轭先验(最常见的是Gunel-Dickey框架),它量化了观测数据在多大程度上支持关联模型而非独立模型,并提供了一个连续的证据尺度,可以双向解释。

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来源

  1. Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. DOI: 10.1093/biomet/61.3.545
  2. 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 Fisher's Exact Test for 2x2 Contingency Tables. ScholarGate. https://scholargate.app/zh/statistics/bayesian-fishers-exact-test

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被引用于

ScholarGateBayesian Fisher's exact test (Bayesian Fisher's Exact Test for 2x2 Contingency Tables). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/bayesian-fishers-exact-test · 数据集: https://doi.org/10.5281/zenodo.20539026