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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 criterion
Bayes factor
Bayesian information criterion
Determining the number of clusters in a data set
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Broader (1)
Model selection
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Deviance Information Criterion for Model Selection : Justification and Variation ∗
Yong Li
2017
Corpus ID: 189894296
Deviance information criterion (DIC) has been extensively used for making model selection based on the MCMC output. Although it…
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2014
2014
Information Criterion for Selection of Ubiquitous Factors
H. H. Takada
,
Julio Michael Stern
2014
Corpus ID: 13908466
Factor analysis is a statistical procedure to describe observed data in terms of unobserved variables called factors. Naturally…
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2014
2014
Derivation of a Solar Diffuse Fraction Model in a Bayesian Framework
P. Lauret
,
J. Boland
,
B. Ridley
2014
Corpus ID: 55987570
We propose a Bayesian statistical approach to deriving a simple logistic hourly diffuse fraction model. The model is calibrated…
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2013
2013
Semiparametric Bayesian analysis of nonlinear reproductive dispersion mixed models for longitudinal data
Niansheng Tang
,
Yuanying Zhao
Journal of Multivariate Analysis
2013
Corpus ID: 6927838
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)
Hiroyuki Kurota
,
M. Mcallister
,
G. Lawson
,
Jacob I. Nogueira
,
S. Teo
,
B. Block
2009
Corpus ID: 67839376
This paper presents a Bayesian methodology to estimate fishing mortality rates and transoceanic migration rates of highly…
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Highly Cited
2007
Highly Cited
2007
Applied Bayesian Non-and Semi-parametric Inference using DPpackage
A. Jara
2007
Corpus ID: 46323041
In many practical situations, a parametric model cannot be expected to describe in an appropriate manner the chance mechanism…
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2004
2004
Hierarchical agglomerative cluster analysis with a contiguity constraint
Brant H Wipperman
2004
Corpus ID: 115464495
Cluster analysis is a technique for finding group structure in data; it is a branch of multivariate statistics which has been…
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2000
2000
A criterion for adaptive autoregressive models
A. Schlögl
,
Stephen J. Roberts
,
Gert Pfurtscheller
Proceedings of the 22nd Annual International…
2000
Corpus ID: 16182831
A criterion, similar to the information criterion of a stationary autoregressive (AR) model, is introduced for an adaptive (non…
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1997
1997
Agricultural tenancy reform: the end of law; or a new popular culture?
R. Gibbard
,
N. Ravenscroft
,
Jo Reeves
1997
Corpus ID: 18727425
This paper applies a reading of the postmodernisation of law to the incremental reform of agricultural holdings legislation over…
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1991
1991
Structure selection of stochastic dynamic systems : the information criterion approach
S. Veres
1991
Corpus ID: 119007243
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