Calibration of posterior predictive p-values for model checking
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Publication:5065240
DOI10.1080/00949655.2020.1844701OpenAlexW3106009290MaRDI QIDQ5065240
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1844701
Cites Work
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- Permutation p-value approximation via generalized Stolarsky invariance
- Two simple examples for understanding posterior \(p\)-values whose distributions are far from unform
- The local power of the gradient test
- Bayesian checking of the second levels of hierarchical models
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Posterior predictive \(p\)-values
- Posterior predictive model checking in hierarchical models
- A goodness-of-fit testing approach for normality based on the posterior predictive distribution
- Permutation \(p\)-values should never be zero: calculating exact \(p\)-values when permutations are randomly drawn
- On noncentral generalized Laplacianness of quadratic forms in normal variables
- Parametric bootstrapping with nuisance parameters
- The adaptive calibration of testingp-values
- Stability and uniqueness of p-values for likelihood-based inference
- Posterior Predictive p‐values in Bayesian Hierarchical Models
- Implicit Alternatives and the Local Power of Test Statistics
- The local power of the efficient scores test statistic
- Sampling and Bayes' Inference in Scientific Modelling and Robustness
- Asymptotic behaviour of the posterior predictive p-value
- P Values Maximized Over a Confidence Set for the Nuisance Parameter
- Optimality of the posterior predictivep-value based on the posterior. Odds
- Asymptotic Statistics
- P Values for Composite Null Models
- Asymptotic Distribution of P Values in Composite Null Models
- New tables of coefficients and percentage points for thewtest for normality
- An analysis of variance test for normality (complete samples)
- Distribution of likelihood-basedp-values under a local alternative hypothesis
- Testing Statistical Hypotheses
- Post-Processing Posterior PredictivepValues
- A Test of Goodness of Fit
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