পদ্ধতির তুলনা করুন

	Bayesian Structural VAR (B-SVAR) মডেল	ভেক্টর এরর কারেকশন মডেল (VECM)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1998–2005	1987
প্রবর্তক	Sims & Zha (1998); Uhlig (2005) for sign-restriction identification	Robert F. Engle and Clive W. J. Granger
ধরন	Structural multivariate time-series model	Multivariate time-series model
মৌলিক উৎস	Sims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968.	Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
অপর নাম	Bayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VAR	VECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
সম্পর্কিত	6	5
সারসংক্ষেপ	The Bayesian Structural Vector Autoregression model combines the structural identification of SVAR with Bayesian prior distributions over parameters. It estimates causal impulse responses between multiple time series while incorporating prior economic knowledge and producing full posterior uncertainty bands rather than point estimates alone.	The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.