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Beijesiešu ADF vienības saknes tests×Beijesa vektora kļūdu korekcijas modelis (Beijesa VECM)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads1991–19922002–2005
AutorsSims & Uhlig (1991); Koop, Osiewalski & Steel (1992)Kleibergen & Paap; Villani
TipsBayesian hypothesis testBayesian multivariate time series model
PirmavotsSims, C. A., & Uhlig, H. (1991). Understanding unit rooters: A helicopter tour. Econometrica, 59(6), 1591–1599. DOI ↗Kleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249. DOI ↗
Citi nosaukumiBayesian ADF test, Bayesian unit root test, Bayesian Dickey-Fuller, BADFBayesian VECM, B-VECM, Bayesian cointegrated VAR, Bayesian vector error correction
Saistītās65
KopsavilkumsThe Bayesian Augmented Dickey-Fuller (BADF) unit root test re-frames the classical ADF test within a Bayesian framework. Rather than computing a frequentist p-value, it quantifies evidence for or against a unit root by comparing posterior probabilities or Bayes factors under the null (unit root) and alternative (stationarity) hypotheses, incorporating prior beliefs about the autoregressive parameter.The Bayesian VECM combines the classical Vector Error Correction Model — which captures both short-run dynamics and long-run cointegrating relationships among non-stationary multivariate time series — with Bayesian prior distributions over the cointegrating rank and coefficient matrices. This allows principled uncertainty quantification, incorporation of economic theory as priors, and coherent inference even in small samples.
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ScholarGateSalīdzināt metodes: Bayesian ADF unit root test · Bayesian VECM. Izgūts 2026-06-17 no https://scholargate.app/lv/compare