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Bayesovsko ponderirano najmanje rasipanje (Bayesian WLS)×Bayesov OLS (Bayesova linearna regresija najmanjih kvadrata)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19711971
TvoracArnold Zellner (Bayesian econometrics framework)Arnold Zellner
VrstaBayesian weighted regressionBayesian linear regression
Temeljni izvorZellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley, New York. ISBN: 978-0471169376Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376
Drugi naziviBayesian weighted regression, BWLS, Bayesian heteroscedastic regression, weighted Bayesian linear regressionBayesian linear regression, Bayesian normal regression, BLR, Bayesian least squares
Srodne45
SažetakBayesian 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.Bayesian OLS combines the classical linear regression likelihood with prior distributions over the coefficients and error variance. Rather than reporting point estimates, it produces full posterior distributions that quantify both estimated effects and their uncertainty. The approach is especially valuable when prior knowledge is available or when samples are small.
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ScholarGateUsporedite metode: Bayesian WLS · Bayesian OLS. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare