Regression modelRegression / GLM
贝叶斯序数逻辑回归
贝叶斯序数逻辑回归通过对回归系数和阈值参数设置先验分布，并通过贝叶斯定理利用观测数据更新这些分布，从而扩展了经典的比例优势模型。其结果是所有参数的完整后验分布，从而能够在不依赖大样本近似的情况下量化不确定性。
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来源
- Johnson, V. E., & Albert, J. H. (1999). Ordinal Data Modeling. Springer. ISBN: 978-0387987484
- 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
如何引用本页
ScholarGate. (2026, June 3). Bayesian Ordinal Logistic Regression (Proportional Odds Model). ScholarGate. https://scholargate.app/zh/statistics/bayesian-ordinal-logistic-regression
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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