পদ্ধতির তুলনা করুন

	বেয়েশীয় অটোরেগ্রেসিভ (AR) মডেল	বেয়েশীয় ভেক্টর অটোরিগ্রেশন মডেল (BVAR)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1971	1984
প্রবর্তক	Arnold Zellner; foundational Bayesian time-series work by West & Harrison	Doan, Litterman & Sims
ধরন	Bayesian time-series model	Multivariate time-series model
মৌলিক উৎস	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376	Doan, T., Litterman, R., & Sims, C. (1984). Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3(1), 1–100.
অপর নাম	Bayesian autoregressive model, BAR model, Bayesian AR, Bayesian time-series autoregression	BVAR, Bayesian VAR, Bayesian vector autoregressive model, BVAR model
সম্পর্কিত	6	5
সারসংক্ষেপ	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.	The Bayesian Vector Autoregression (BVAR) model extends the classical VAR framework by incorporating prior beliefs about the model coefficients. Priors — most commonly the Minnesota prior — shrink VAR coefficients toward economically sensible values, dramatically reducing overfitting and improving out-of-sample forecast accuracy even when the number of variables is large.