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Deviance information criterion

Known as: DIC, Information criterion 
The deviance information criterion (DIC) is a hierarchical modeling generalization of the Akaike information criterion (AIC) and the Bayesian… Expand
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Related topics

Related topics

10 relations
Akaike information criterionBayes factorBayesian information criterionDetermining the number of clusters in a data set
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Broader (1)

Model selection

Papers overview

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2016
2016
Fast computation of the deviance information criterion for latent variable models
The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have… Expand
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2014
2014
A Caution about Using Deviance Information Criterion while Modeling Traffic Crashes
The Poisson-Gamma (PG) or negative binomial (NB) model still remains the most popular method used for analyzing count data. In… Expand
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Highly Cited
2012
Highly Cited
2012
Blast Mitigation in a Sandwich Composite Using Graded Core and Polyurea Interlayer
The dynamic behavior of two types of sandwich composites made of E-Glass Vinyl-Ester (EVE) facesheets and Corecell™ A-series foam… Expand
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2012
2012
Unmasking Deviance: The Visual Construction of Asylum Seekers and Refugees in English National Newspapers
This paper explores the visual representation of asylum seekers and refugees delineating how English newspaper imagery constructs… Expand
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2011
2011
Bayesian Analysis of Circular Data Using Wrapped Distributions
Circular data arise in a number of different areas such as geological, meteorological, biological and industrial sciences… Expand
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Highly Cited
2011
Highly Cited
2011
Information Rates of Nonparametric Gaussian Process Methods
We consider the quality of learning a response function by a nonparametric Bayesian approach using a Gaussian process (GP) prior… Expand
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Highly Cited
2007
Highly Cited
2007
Information criteria for astrophysical model selection
Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The… Expand
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Highly Cited
2006
Highly Cited
2006
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modeling nonlinear effects of continuous covariates are now well established tools for the… Expand
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Highly Cited
2002
Highly Cited
2002
Deviance Information Criterion for Comparing Stochastic Volatility Models
Bayesian methods have been efficient in estimating parameters of stochastic volatility models for analyzing financial time series… Expand
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Highly Cited
1988
Highly Cited
1988
The Effect of Foreign Accent and Speaking Rate on Native Speaker Comprehension
This study investigated the effect of foreign accent and speaking rate on native speaker comprehension. The speakers for the… Expand
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