方法证据记录
Bayesian VAR model
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Vector Autoregression Model
分类方法记录 · regression-model / econometrics
- 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
- 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
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