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Bayesovský unit root test Phillipsa-Perrona×Test augmentovanej Dickey-Fullerovej (ADF) na jednotkovú odmocninu×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1988 / early 1990s1979–1984
TvorcaPhillips & Perron (classical test, 1988); Bayesian framework: Sims & Uhlig (1991)Said & Dickey (1984); building on Dickey & Fuller (1979)
TypUnit root test (Bayesian)Hypothesis test (unit root)
Pôvodný zdrojPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI ↗Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗
Ďalšie názvyBayesian PP test, Bayesian Phillips-Perron test, Bayesian nonparametric unit root test, Bayes PP unit rootADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Príbuzné55
ZhrnutieThe Bayesian Phillips-Perron unit root test combines the nonparametric long-run variance correction of the classical Phillips-Perron test with a Bayesian inferential framework. Instead of a p-value, it yields a posterior probability or Bayes factor quantifying evidence for or against a unit root, allowing researchers to incorporate prior economic knowledge and obtain probability statements directly about the persistence of a time series.The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance.
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ScholarGatePorovnať metódy: Bayesian PP unit root test · Augmented Dickey-Fuller unit root test. Získané 2026-06-17 z https://scholargate.app/sk/compare