Krahasoni metodat

	Modeli ARMA Bayesiano	OLS Bayesiane (Regresioni Klasik i Minit të Karkasave Bayesiane)
Fusha	Ekonometri	Ekonometri
Familja	Regression model	Regression model
Viti i origjinës	1970s–1980s	1971
Krijuesi	Box & Jenkins (classical ARMA); Bayesian treatment developed through work of Zellner, Geweke, and others in 1970s–1980s	Arnold Zellner
Lloji	Bayesian time series model	Bayesian linear regression
Burimi themelues	Geweke, J., & Meese, R. (1981). Estimating regression models of finite but unknown order. International Economic Review, 22(1), 55–70.	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376
Emërtime të tjera	Bayesian ARMA, B-ARMA, Bayesian autoregressive moving average, ARMA with Bayesian inference	Bayesian linear regression, Bayesian normal regression, BLR, Bayesian least squares
Të lidhura	6	5
Përmbledhja	The Bayesian ARMA model applies Bayesian inference to the classical autoregressive moving average framework for stationary univariate time series. Rather than producing single point estimates for the AR and MA parameters, it yields full posterior distributions, naturally incorporating prior knowledge and providing coherent uncertainty quantification over forecasts and impulse responses.	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.