Bayesian Measures of Model Complexity and Fit

Bayesian Measures of Model Complexity and Fit (2001)

by David J. Spiegelhalter , Nicola G. Best , Bradley P. Carlin , Angelika van der Linde

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Datum	Value	Source
TITLE	Bayesian Measures of Model Complexity and Fit	user correction - Legacy Corrections
AUTHOR NAME	David J. Spiegelhalter	user correction - Legacy Corrections
AUTHOR AFFIL	y	user correction - Legacy Corrections
AUTHOR NAME	Nicola G. Best	user correction - Legacy Corrections
AUTHOR AFFIL	y	user correction - Legacy Corrections
AUTHOR NAME	Bradley P. Carlin	user correction - Legacy Corrections
AUTHOR NAME	Angelika van der Linde	user correction - Legacy Corrections
AUTHOR AFFIL	; x; MRC Biostatistics Unit, Institute of Public Health; Dept. of Mathematics, Institute of Statistics	user correction - Legacy Corrections
AUTHOR ADDR	; Robinson Way, Cambridge CB2 2SR, UK: e-mail; Dept Epidemiology and Public Health, Imperial College School of Medicine at St Mary's, Norfolk Place, London; Division of Biostatistics, Box 303 Mayo Building, University of Minnesota, Minneapolis, MN 55455-0	user correction - Legacy Corrections
ABSTRACT	We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using an information-theoretic argument we derive a measure pD for the effective number of parameters in a model as the difference between the posterior mean of the deviance and the deviance at the posterior means of the parameters of interest.	user correction - Legacy Corrections
YEAR	2001	user correction - Legacy Corrections
CITATIONS	69 found	ParsCit 1.0