Regression modelEconometrics / time series

Model Bejzovskog vektorskog autoregresionog modela (BVAR)

Model Bejzovskog vektorskog autoregresionog modela (BVAR) proširuje klasični VAR okvir uvođenjem prethodnih uverenja o koeficijentima modela. Priori — najčešće Minnesota prior — smanjuju VAR koeficijente ka ekonomski smislenim vrednostima, dramatično smanjujući preterano prilagođavanje i poboljšavajući tačnost prognoze van uzorka čak i kada je broj promenljivih velik.

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Izvori

  1. Doan, T., Litterman, R., & Sims, C. (1984). Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3(1), 1–100. DOI: 10.1080/07474938408800053
  2. Koop, G., & Korobilis, D. (2010). Bayesian Multivariate Time Series Methods for Empirical Macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. DOI: 10.1561/0800000013

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Vector Autoregression Model. ScholarGate. https://scholargate.app/sr/econometrics/bayesian-var-model

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ScholarGateBayesian VAR model (Bayesian Vector Autoregression Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/bayesian-var-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026