Regression modelEconometrics / time series
贝叶斯加权最小二乘法 (Bayesian WLS)
贝叶斯加权最小二乘法 (Bayesian WLS) 结合了经典 WLS 的权重方案——该方案会降低误差方差较大的观测值的权重——以及关于回归系数和误差方差的贝叶斯先验分布。其结果是一个后验分布，该分布同时反映了数据似然和先验信念，在异方差情况下提供了完整的不确定性量化。
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
- Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley, New York. ISBN: 978-0471169376
- Koop, G. (2003). Bayesian Econometrics. Wiley, Chichester. ISBN: 978-0470845677
如何引用本页
ScholarGate. (2026, June 3). Bayesian Weighted Least Squares. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-wls
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.
- 贝叶斯固定效应模型计量经济学↔ compare
- 贝叶斯普通最小二乘回归 (Bayesian OLS)计量经济学↔ compare
- 贝叶斯随机效应模型计量经济学↔ compare
- 稳健加权最小二乘法 (Robust WLS)计量经济学↔ compare