1998
DOI: 10.1007/bf02565116
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A simulation-intensive approach for checking hierarchical models

Abstract: Discrepancy measures, generalized linear mixed model, Monte Carlo tests, sampling-based model fitting, stagewise model adequacy, 62A15, 62E25, 62-07,

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Cited by 56 publications
(56 citation statements)
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“…While cross-validation is often considered a gold standard for diagnostics [29,30,31] , it is computationally expensive and may be impractical for very large datasets. Alternatives such as "testing" datasets [32,33] , importance sampling [29] , simulationbased model checking [34] , posterior predictive checks [35,36] , and approaches that balance bias with the computational burden of cross-validation [37,38] may also be used.…”
Section: From Information To Knowledgementioning
confidence: 99%
“…While cross-validation is often considered a gold standard for diagnostics [29,30,31] , it is computationally expensive and may be impractical for very large datasets. Alternatives such as "testing" datasets [32,33] , importance sampling [29] , simulationbased model checking [34] , posterior predictive checks [35,36] , and approaches that balance bias with the computational burden of cross-validation [37,38] may also be used.…”
Section: From Information To Knowledgementioning
confidence: 99%
“…While cross-validation is often considered a gold standard for diagnostics [29,30,31] , it is computationally expensive and may be impractical for very large datasets. Alternatives such as "testing" datasets [32,33] , importance sampling [29] , simulationbased model checking [34] , posterior predictive checks [35,36] , and approaches that balance bias with the computational burden of cross-validation [37,38] may also be used. Inference (hypothesis testing or prediction) is typically needed for answering a number of questions that decision-makers might have.…”
Section: From Information To Knowledgementioning
confidence: 99%
“…The results displayed in Figure Dey et al (1998) proposed a computationally intensive method for checking the suitability of proper priors used in a hierarchical model. Bayarri and Castellanos (2007) In this subsection, we study the performance of the MCMC-IS methods described in subsection 2.2 in estimating the quantiles of the posterior distributions p(d(y (r) , θ)|y (r) ) described in Step 1.…”
Section: The Bayesian Lassomentioning
confidence: 99%
“…The MCMC-IS methods are applied to simulation-based model checking for the heart transplant dataset and model from section 5 of Dey et al (1998). This dataset contains the number of patients developing problems leading to short term organ rejection and the total number of transplant patients at 10 centers and grouped into 5 age groups.…”
Section: Simulation-based Model Checkingmentioning
confidence: 99%
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