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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.
Highly Cited
2018
Highly Cited
2018
Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
Mohammad Razaur Rahman Shaon
,
Xiao Qin
,
M. Shirazi
,
D. Lord
,
Srinivas R. Geedipally
2018
Corpus ID: 51762064
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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2016
2016
Face Recognition via Active Annotation and Learning
Hao Ye
,
Weiyuan Shao
,
+4 authors
X. Xue
ACM Multimedia
2016
Corpus ID: 16702681
In this paper, we introduce an active annotation and learning framework for the face recognition task. Starting with an initial…
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Highly Cited
2014
Highly Cited
2014
Crash frequency modeling for signalized intersections in a high-density urban road network
Kun Xie
,
Xuesong Wang
,
K. Ozbay
,
Hong Yang
2014
Corpus ID: 52043054
Highly Cited
2011
Highly Cited
2011
Unmasking Deviance: The Visual Construction of Asylum Seekers and Refugees in English National Newspapers
James Banks
Critical Criminology
2011
Corpus ID: 6701558
This paper explores the visual representation of asylum seekers and refugees delineating how English newspaper imagery constructs…
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2008
2008
An Objective Criterion for the Selection of an Optimum DIC Pattern and Subset Size
C. Lane
,
R. Burguete
,
A. Shterenlikht
2008
Corpus ID: 18309672
The grey level co-occurrence matrix (GLCM) is used in this work for quantitative spatial texture description. The two GLCM…
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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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Highly Cited
2005
Highly Cited
2005
A Bayesian approach to testing decision making axioms
Jay I. Myung
,
G. Karabatsos
,
G. Iverson
2005
Corpus ID: 45420629
Highly Cited
2003
Highly Cited
2003
A Consistent Method for the Selection of Relevant Instruments
A. Hall
,
Fernanda P. M. Peixe
2003
Corpus ID: 8956808
Abstract In many applications, a researcher must select an instrument vector from a candidate set of instruments. If the ultimate…
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Highly Cited
1988
Highly Cited
1988
The Effect of Foreign Accent and Speaking Rate on Native Speaker Comprehension
Janet Anderson-Hsieh
,
K. Koehler
1988
Corpus ID: 7809320
This study investigated the effect of foreign accent and speaking rate on native speaker comprehension. The speakers for the…
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