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Model Bayesovog vektorskog autoregresijskog modela (BVAR)×Vektorska autoregresija (VAR)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19841980
TvoracDoan, Litterman & SimsChristopher A. Sims
VrstaMultivariate time-series modelMultivariate time-series model
Temeljni izvorDoan, T., Litterman, R., & Sims, C. (1984). Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3(1), 1–100. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Drugi naziviBVAR, Bayesian VAR, Bayesian vector autoregressive model, BVAR modelVAR, VAR model, vector autoregressive model, multivariate autoregression
Srodne55
SažetakThe 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.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.
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ScholarGateUsporedite metode: Bayesian VAR model · Vector Autoregression. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare