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Bayesian Vector Autoregression (BVAR)×VAR Ambang dan VAR Peralihan Licin (TVAR / STVAR)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19861998
PengasasLitterman (1986); Bańbura, Giannone & Reichlin (2010)Tsay (multivariate threshold modelling)
JenisBayesian multivariate time-series modelNonlinear multivariate time-series model
Sumber perintisLitterman, R. B. (1986). Forecasting with Bayesian Vector Autoregressions—Five Years of Experience. Journal of Business & Economic Statistics, 4(1), 25-38. DOI ↗Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗
AliasBVAR, Bayesian vector autoregression, Minnesota prior VAR, Bayesian VAR (BVAR)TVAR, STVAR, regime-switching VAR, threshold VAR
Berkaitan55
RingkasanBayesian VAR adds Minnesota or other prior distributions to a vector autoregressive model to control over-parameterisation. Introduced by Litterman (1986) and extended to high dimensions by Bańbura, Giannone and Reichlin (2010), it outperforms classical VAR on short series and high-dimensional macroeconomic forecasts.Threshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences.
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ScholarGateBandingkan kaedah: Bayesian VAR · Threshold and Smooth-Transition VAR. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare