পদ্ধতির তুলনা করুন

	বেয়েশীয়ান OLS (বেয়েশীয়ান অর্ডিনারি লিস্ট স্কোয়ারস রিগ্রেশন)	বেয়েশীয় ভেক্টর অটোরিগ্রেশন মডেল (BVAR)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1971	1984
প্রবর্তক	Arnold Zellner	Doan, Litterman & Sims
ধরন	Bayesian linear regression	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 linear regression, Bayesian normal regression, BLR, Bayesian least squares	BVAR, Bayesian VAR, Bayesian vector autoregressive model, BVAR model
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	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.