Regression modelRegression / GLM
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。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- 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
- 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
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.
Compare side by side →