Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models
[arXiv:0802.0743]Comment: Published in at http://dx.doi.org/10.1214/07-STS235REJ the
  Statistical Science (http://www.imstat.org/sts/) by the Institute of
  Mathematical Statistics (http://www.imstat.org

Bayarri, M. J.

Castellanos, M. E.

English

arXiv

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Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models

Archivio istituzionale della ricerca - Università di Cagliari

Rejoinder: Bayesian checking of the second levels of hierarchical models

Hierarchical models are increasingly used in many applications. Along with this increased use comes a desire to investigate whether the model is compatible with the observed data. Bayesian methods are well suited to eliminate the many (nuisance) parameters in these complicated models; in this paper we investigate Bayesian methods for model checking. Since we contemplate model checking as a preliminary, exploratory analysis, we concentrate on objective Bayesian methods in which careful specification of an informative prior distribution is avoided. Numerous examples are given and different proposals are investigated and critically compared. © Institute of Mathematical Statistics, 2007

Bayesian checking of the second levels of hierarchical models

Bayesian Checking of the Second Levels of Hierarchical Models

Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models

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Archivio istituzionale della ricerca - Università di Cagliari

Archivio istituzionale della ricerca - Università di Cagliari

Crossref