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Bayesovské vážené metodou nejmenších čtverců (Bayesian WLS)×Bayesovský model s fixními efekty×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku19712000–2008
TvůrceArnold Zellner (Bayesian econometrics framework)Chib (2008); Lancaster (2000)
TypBayesian weighted regressionBayesian panel regression
Původní zdrojZellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley, New York. ISBN: 978-0471169376Lancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics, 95(2), 391–413. DOI ↗
Další názvyBayesian weighted regression, BWLS, Bayesian heteroscedastic regression, weighted Bayesian linear regressionBayesian within estimator, Bayesian FE model, Bayesian individual fixed effects, Bayesian least squares dummy variable
Příbuzné45
ShrnutíBayesian 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.The Bayesian fixed effects model applies Bayesian inference to the classical within-group panel estimator. Unit-specific intercepts capture time-invariant unobserved heterogeneity, while prior distributions on all parameters allow probability statements about coefficients and full uncertainty quantification via the posterior distribution.
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ScholarGatePorovnat metody: Bayesian WLS · Bayesian Fixed Effects Model. Získáno 2026-06-15 z https://scholargate.app/cs/compare