পদ্ধতির তুলনা করুন

	বেয়েশীয় ফিলিপস-পেরন ইউনিট রুট টেস্ট	Phillips-Perron Unit Root Test
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1988 / early 1990s	1988
প্রবর্তক	Phillips & Perron (classical test, 1988); Bayesian framework: Sims & Uhlig (1991)	Peter C. B. Phillips and Pierre Perron
ধরন	Unit root test (Bayesian)	Hypothesis test (unit root)
মৌলিক উৎস	Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.	Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.
অপর নাম	Bayesian PP test, Bayesian Phillips-Perron test, Bayesian nonparametric unit root test, Bayes PP unit root	PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test
সম্পর্কিত	5	5
সারসংক্ষেপ	The 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 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.