FAQ

Deviance information criterion

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

Topic mentions per year

Topic mentions per year

1998-2016
0519982016

Related topics

Related topics

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

Related mentions per year

Related mentions per year

1953-2018
1960198020002020
Deviance information criterion
Statistical model
Kullback–Leibler divergence
Model selection
Markov chain Monte Carlo
Akaike information criterion

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… (More)
  • table 1
  • figure 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
2012
2012
Robust Deviance Information Criterion for Latent Variable Models∗
It is shown in this paper that the data augmentation technique undermines the theoretical underpinnings of the deviance… (More)
  • table 1
  • table 2
  • table 3
Is this relevant?
2010
2010
Causal driver detection with deviance information criterion
Causal explanatory study is a very important research method in empirical research. The outcome of a quantitative MIS research… (More)
  • table 1
  • table 3
  • table 4
  • figure 1
  • figure 2
Is this relevant?
2010
2010
Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
Many diagnostic tools and goodness-of-fit measures, such as the Akaike information criterion (AIC) and the Bayesian deviance… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2009
2009
Deviance information criterion (DIC) in Bayesian multiple QTL mapping
Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection… (More)
Is this relevant?
2007
2007
Information criteria for astrophysical model selection
Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The… (More)
  • table 1
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Deviance Information Criteria for Missing Data Models
The deviance information criterion (DIC) introduced by Spiegelhalter et al. (2002) for model assessment and model comparison is… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Deviance Information Criterion for Comparing Stochastic Volatility Models
Bayesian methods have been efŽ cient in estimating parameters of stochastic volatility models for analyzing Ž nancial time series… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
Highly Cited
2002
Highly Cited
2002
Bayesian Measures of Model Complexity and Fit
We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Bayesian Deviance, the Eeective Number of Parameters, and the Comparison of Arbitrarily Complex Models
We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly deened. We… (More)
  • figure 1
  • figure 2
Is this relevant?