Compară metode

	Metoda celor mai mici pătrate ponderate bayesiană (Bayesian WLS)	Ponderarea minimilor pătrate robuste (Robust WLS)
Domeniu	Econometrie	Econometrie
Familie	Regression model	Regression model
Anul apariției	1971	1964/1981
Autorul original	Arnold Zellner (Bayesian econometrics framework)	Huber, P. J.
Tip	Bayesian weighted regression	Robust weighted regression
Sursa seminală	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley, New York. ISBN: 978-0471169376	Huber, P. J. (1981). Robust Statistics. Wiley. ISBN: 978-0471418054
Denumiri alternative	Bayesian weighted regression, BWLS, Bayesian heteroscedastic regression, weighted Bayesian linear regression	robust weighted least squares, RWLS, heteroscedasticity-robust WLS, outlier-robust weighted regression
Înrudite	4	5
Rezumat	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.	Robust WLS combines weighted least squares — which corrects for known or estimated heteroscedasticity — with robust M-estimation that down-weights influential outliers. The result is a regression estimator that is simultaneously efficient under non-constant error variance and resistant to observations that would otherwise distort coefficient estimates.