Deviance information criterion

The deviance information criterion (DIC) is a hierarchical modeling generalization of the Akaike information criterion (AIC) and the Bayesian… (More)
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1998-2016
0519982016

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2016
2016
The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have… (More)
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2012
2012
It is shown in this paper that the data augmentation technique undermines the theoretical underpinnings of the deviance… (More)
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2010
2010
Causal explanatory study is a very important research method in empirical research. The outcome of a quantitative MIS research… (More)
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2010
2010
Many diagnostic tools and goodness-of-fit measures, such as the Akaike information criterion (AIC) and the Bayesian deviance… (More)
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2009
2009
Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection… (More)
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2007
2007
Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The… (More)
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Highly Cited
2005
Highly Cited
2005
The deviance information criterion (DIC) introduced by Spiegelhalter et al. (2002) for model assessment and model comparison is… (More)
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Highly Cited
2004
Highly Cited
2004
Bayesian methods have been efŽ cient in estimating parameters of stochastic volatility models for analyzing Ž nancial time series… (More)
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Highly Cited
2002
Highly Cited
2002
We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using… (More)
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Highly Cited
1998
Highly Cited
1998
We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly deened. We… (More)
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