Regression modelRegression / GLM
贝叶斯 Tobit 模型
贝叶斯 Tobit 模型扩展了 Tobin 的删失回归框架，用回归系数和误差方差的完整后验分布取代了最大似然点估计。通过嵌入带有数据增强的 Gibbs 采样，它生成可信区间，能很好地处理小样本删失数据，并自然地纳入关于效应大小的先验知识。
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来源
- Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36. DOI: 10.2307/1907382 ↗
- Chib, S. (1992). Bayes inference in the Tobit censored regression model. Journal of Econometrics, 51(1–2), 79–99. DOI: 10.1016/0304-4076(92)90030-U ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Tobit Model. ScholarGate. https://scholargate.app/zh/statistics/bayesian-tobit-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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