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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… 
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Related topics

Related topics

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

Broader (1)

Model selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Information Criterion for Selection of Ubiquitous Factors
Factor analysis is a statistical procedure to describe observed data in terms of unobserved variables called factors. Naturally… 
2014
2014
Derivation of a Solar Diffuse Fraction Model in a Bayesian Framework
We propose a Bayesian statistical approach to deriving a simple logistic hourly diffuse fraction model. The model is calibrated… 
2013
2013
Semiparametric Bayesian analysis of nonlinear reproductive dispersion mixed models for longitudinal data
Review
2011
Review
2011
Model Comparison and Simulation for Hierarchical Models: Analyzing Rural-Urban Migration in Thailand
Sociological research often examines the effects of social context with hierarchical models. In these applications, individuals… 
Highly Cited
2009
Highly Cited
2009
A sequential Bayesian methodology to estimate movement and exploitation rates using electronic and conventional tag data: application to Atlantic bluefin tuna (Thunnus thynnus)
This paper presents a Bayesian methodology to estimate fishing mortality rates and transoceanic migration rates of highly… 
Highly Cited
2007
Highly Cited
2007
Applied Bayesian Non-and Semi-parametric Inference using DPpackage
In many practical situations, a parametric model cannot be expected to describe in an appropriate manner the chance mechanism… 
2006
2006
Mixed models, array methods and multidimensional density estimation
We consider multidimensional density estimation. Eilers et al. (2006) used multidimensional P-splines together with a new fast… 
2004
2004
Hierarchical agglomerative cluster analysis with a contiguity constraint
Cluster analysis is a technique for finding group structure in data; it is a branch of multivariate statistics which has been… 
2000
2000
A criterion for adaptive autoregressive models
A criterion, similar to the information criterion of a stationary autoregressive (AR) model, is introduced for an adaptive (non… 
1997
1997
Agricultural tenancy reform: the end of law; or a new popular culture?
This paper applies a reading of the postmodernisation of law to the incremental reform of agricultural holdings legislation over… 
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