Regression modelRegression / GLM
贝叶斯负二项回归
贝叶斯负二项回归模型通过对数据施加负二项似然，并对回归系数和离散参数指定先验分布，来模拟表现出过度离散（即方差超过均值）的非负整数计数结果。后验推断通常通过马尔可夫链蒙特卡洛（MCMC）或变分方法进行，从而得到完整的后验分布而非点估计。
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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
- Cameron, A. C., & Trivedi, P. K. (2013). Regression Analysis of Count Data (2nd ed.). Cambridge University Press. ISBN: 978-1107667273
如何引用本页
ScholarGate. (2026, June 3). Bayesian Negative Binomial Regression. ScholarGate. https://scholargate.app/zh/statistics/bayesian-negative-binomial-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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