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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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Papers overview

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2017
2017
Deviance information criterion (DIC) has been extensively used for making model selection based on the MCMC output. Although it… 
2014
2014
Factor analysis is a statistical procedure to describe observed data in terms of unobserved variables called factors. Naturally… 
2014
2014
We propose a Bayesian statistical approach to deriving a simple logistic hourly diffuse fraction model. The model is calibrated… 
Highly Cited
2009
Highly Cited
2009
This paper presents a Bayesian methodology to estimate fishing mortality rates and transoceanic migration rates of highly… 
Highly Cited
2007
Highly Cited
2007
In many practical situations, a parametric model cannot be expected to describe in an appropriate manner the chance mechanism… 
2004
2004
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, similar to the information criterion of a stationary autoregressive (AR) model, is introduced for an adaptive (non… 
1997
1997
This paper applies a reading of the postmodernisation of law to the incremental reform of agricultural holdings legislation over…