The Use of Posterior Predictive P-Values in Testing Goodness-of-Fit
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Publication:2873924
DOI10.1080/03610926.2012.705213zbMath1462.62265OpenAlexW2128641402MaRDI QIDQ2873924
Xuhua Liu, Xingzhong Xu, Dao-Jiang He
Publication date: 28 January 2014
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2012.705213
goodness-of-fit testKolmogorov-Smirnov testdiscrepancy variableposterior predictive \(p\)-valueBerk-Jones testJeffreys' piror
Cites Work
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- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Posterior predictive \(p\)-values
- Posterior predictive model checking in hierarchical models
- A Modified Kolmogorov–Smirnov Test for Normality
- Goodness-of-fit test statistics that dominate the Kolmogorov statistics
- Asymptotic behaviour of the posterior predictive p-value
- Minimum Kolmogorov–Smirnov test statistic parameter estimates
- Post-Processing Posterior PredictivepValues
- Posterior predictive \(p\)-values: what they are and what they are not
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