Võrdle meetodeid

	Bayes'i Autoregresseeruv (AR) mudel	Vektorautoregressioon (VAR)
Valdkond	Ökonomeetria	Ökonomeetria
Perekond	Regression model	Regression model
Tekkeaasta	1971	1980
Looja	Arnold Zellner; foundational Bayesian time-series work by West & Harrison	Christopher A. Sims
Tüüp	Bayesian time-series model	Multivariate time-series model
Algallikas	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376	Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.
Rööpnimetused	Bayesian autoregressive model, BAR model, Bayesian AR, Bayesian time-series autoregression	VAR, VAR model, vector autoregressive model, multivariate autoregression
Seotud	6	5
Kokkuvõte	The Bayesian AR model estimates an autoregressive time-series process by combining a likelihood derived from the AR structure with prior distributions over the lag coefficients and error variance. Rather than producing single point estimates, it yields full posterior distributions, enabling principled uncertainty quantification and probabilistic forecasting.	Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.