Regression modelRegression / GLM
贝叶斯零膨胀模型
贝叶斯零膨胀模型通过结合一个二元组件（识别结构性零）和一个针对剩余计数的计数组件（泊松或负二项分布）来处理具有过多零的计数数据。通过 MCMC 进行贝叶斯推断可为所有参数提供完整的后验分布，从而通过先验实现原则性的不确定性量化和正则化。
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来源
- Ghosh, S. K., Mukhopadhyay, P., & Lu, J.-C. (2006). Bayesian analysis of zero-inflated regression models. Journal of Statistical Planning and Inference, 136(4), 1360–1375. DOI: 10.1016/j.jspi.2004.10.008 ↗
- Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI: 10.2307/1269547 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Zero-Inflated Count Model. ScholarGate. https://scholargate.app/zh/statistics/bayesian-zero-inflated-model
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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