方法证据记录
Bayesian WLS
Bayesian Weighted Least Squares combines the classical WLS weighting scheme — which downweights observations with high error variance — with Bayesian prior distributions over the regression coefficients and error variance. The result is a posterior distribution that reflects both the data likelihood and prior beliefs, providing full uncertainty quantification in heteroscedastic settings.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Weighted Least Squares
分类方法记录 · regression-model / econometrics
- 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
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