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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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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… 
Review
2011
Review
2011
Sociological research often examines the effects of social context with hierarchical models. In these applications, individuals… 
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… 
2006
2006
We consider multidimensional density estimation. Eilers et al. (2006) used multidimensional P-splines together with a new fast… 
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…