Two-sample Kolmogorov-Smirnov test using a Bayesian nonparametric approach

DOI10.3103/S1066530717030048OpenAlexW2758806608MaRDI QIDQ1695549

Luai Al-Labadi, Mahmoud Zarepour

Publication date: 7 February 2018

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s1066530717030048

zbMATH Keywords

Kolmogorov distancegoodness-of-fit testsDirichlet processtwo-sample problem

Mathematics Subject Classification ID

Bayesian inference (62F15) Testing in survival analysis and censored data (62N03)

Related Items (8)

A Bayesian semiparametric Gaussian copula approach to a multivariate normality test ⋮ Kullback-Leibler divergence for Bayesian nonparametric model checking ⋮ A Bayesian nonparametric multi-sample test in any dimension ⋮ The two-sample problem via relative belief ratio ⋮ A necessary Bayesian nonparametric test for assessing multivariate normality ⋮ A Bayesian nonparametric testing procedure for paired samples ⋮ Bayesian estimation of extropy and goodness of fit tests ⋮ A distribution-free, Bayesian goodness-of-fit method for assessing similar scientific prediction equations

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