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Bayesian Theory and Applications$
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Paul Damien, Petros Dellaportas, Nicholas G. Polson, and David A. Stephens

Print publication date: 2013

Print ISBN-13: 9780199695607

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199695607.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 13 May 2021

Bayesian Model Specification: Heuristics And Examples

Bayesian Model Specification: Heuristics And Examples

(p.409) 20 Bayesian Model Specification: Heuristics And Examples
Bayesian Theory and Applications

david draper

Oxford University Press

This chapter discusses optimal Bayesian model specification. It examines three methods that may be helpful in moving toward an optimal-model-specification goal. These methods are: an approach called Calibration Cross-Validation (CCV) that helps one pay the right price for data-peeking and Bayesian non-parametric methods for specifying sampling distributions and prior distributions.

Keywords:   Bayesian approach, optimal model, Calibration Cross-Validation, Bayesian non-parametric methods, sampling distribution prior distribution

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