Regression modelRegression / GLM
贝叶斯泊松回归
贝叶斯泊松回归模型使用泊松似然和对数链接函数来模拟非负整数计数结果，并对回归系数设置先验分布。后验推断——结合先验信念和数据似然——产生系数的完整概率分布，而不是单点估计，从而实现一致的量化不确定性和整合领域知识。
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Method map
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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
- McCullagh, P., & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall. ISBN: 978-0412317606
如何引用本页
ScholarGate. (2026, June 3). Bayesian Poisson Regression. ScholarGate. https://scholargate.app/zh/statistics/bayesian-poisson-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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