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贝叶斯多项逻辑回归

贝叶斯多项逻辑回归通过在回归系数上放置先验分布并通过贝叶斯定理用数据更新它们,来模拟具有三个或更多无序类别的定性结果。其结果是每个观测值的类别概率的完整后验分布,从而能够进行基于原理的不确定性量化和通过先验进行正则化。

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来源

  1. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
  2. Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933

如何引用本页

ScholarGate. (2026, June 3). Bayesian Multinomial Logistic Regression. ScholarGate. https://scholargate.app/zh/statistics/bayesian-multinomial-logistic-regression

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被引用于

ScholarGateBayesian Multinomial Logistic Regression (Bayesian Multinomial Logistic Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/bayesian-multinomial-logistic-regression · 数据集: https://doi.org/10.5281/zenodo.20539026