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Model VAR Bayesian (BVAR)

Model Bayesian Vector Autoregression (BVAR) memperluas kerangka kerja VAR klasik dengan menggabungkan kepercayaan awal (prior) tentang koefisien model. Prior — yang paling umum adalah prior Minnesota — mengecilkan koefisien VAR ke arah nilai-nilai yang masuk akal secara ekonomi, secara dramatis mengurangi pemodelan berlebihan (overfitting) dan meningkatkan akurasi peramalan di luar sampel (out-of-sample) bahkan ketika jumlah variabelnya besar.

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Sumber

  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

Cara memetik halaman ini

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

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ScholarGateBayesian VAR model (Bayesian Vector Autoregression Model). Dicapai 2026-06-15 daripada https://scholargate.app/ms/econometrics/bayesian-var-model · Set data: https://doi.org/10.5281/zenodo.20539026