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Bayesovský test jednotkovej odmocniny ADF×Test jednotkovej odmocniny Phillipsa-Perrona×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1991–19921988
TvorcaSims & Uhlig (1991); Koop, Osiewalski & Steel (1992)Peter C. B. Phillips and Pierre Perron
TypBayesian hypothesis testHypothesis test (unit root)
Pôvodný zdrojSims, C. A., & Uhlig, H. (1991). Understanding unit rooters: A helicopter tour. Econometrica, 59(6), 1591–1599. DOI ↗Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗
Ďalšie názvyBayesian ADF test, Bayesian unit root test, Bayesian Dickey-Fuller, BADFPP test, PP unit root test, Phillips-Perron test, nonparametric unit root test
Príbuzné65
ZhrnutieThe 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 Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes.
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ScholarGatePorovnať metódy: Bayesian ADF unit root test · Phillips-Perron unit root test. Získané 2026-06-17 z https://scholargate.app/sk/compare