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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.
2018
2018
ОБҐРУНТУВАННЯ КРИТЕРІЇВ ІНФОРМАТИВНОСТІ І ВІДНОСНОЇ ЧУТЛИВОСТІ ДІАГНОСТИЧНИХ ПАРАМЕТРІВ ТЕХНІЧНОГО СТАНУ ТРИБОСИСТЕМ АГРЕГАТІВ ТРАНСПОРТНИХ МАШИН
Віктор Васильович Аулін
,
А. В. Гриньків
,
Сергій Володимирович Лисенко
,
А. Є. Чернай
,
Т. М. Замота
2018
Corpus ID: 125382877
The analysis of an estimation of a technical condition of tribosystems of aggregates of transport machines is given. It was found…
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2016
2016
Evaluation of an information criterion-based growing topology representing network
Kazuhiro Tokunaga
2016
Corpus ID: 126391792
Review
2015
Review
2015
Model Selection and Multiple Testing - A Bayesian and Empirical Bayes Overview and some New Results
Ritabrata Dutta
,
M. Bogdan
,
J. Ghosh
2015
Corpus ID: 42757727
We provide a brief overview of both Bayes and classical model selection. We argue tentatively that model selection has at least…
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2015
2015
Primary School Teachers' Views about Supervisional Deviant Behaviours.
Ali Aksu
,
Halil Gucer
,
Asli Orcan
2015
Corpus ID: 64361754
This research examines supervisional deviant behaviours depending on the primary school teachers’ view in Izmir, Turkey…
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2014
2014
Unidimensional Models Do Not Fit Unidimensional Mixed Format Data Better than Multidimensional Models
Melinda Montgomery
2014
Corpus ID: 143187955
This dissertation examines the scaling of large scale assessments containing both dichotomous and polytomous items, mixed format…
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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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2013
2013
Bayesian population dynamics modeling to guide population restoration and recovery of endangered mussels in the Clinch River, Tennessee and Virginia
M. Tang
2013
Corpus ID: 113768775
2012
2012
Analysis of Tumorigenesis Data Using Shared Gamma Frailty Models via Bayesian Approach
David D. Hanagal
,
Richa Sharma
2012
Corpus ID: 14536690
Many analysis in epidemiological and prognostic studies and in studies of event history data require methods that allow for…
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2009
2009
Performance evaluation of the correlation and smoothing methods of the digital image correlation and its application to the opening specimens
T. Dirgantara
,
Arie Sukma Jaya
,
I. Putra
International Conference on Experimental…
2009
Corpus ID: 122415281
Digital Image Correlation (DIC) has been known as one of the non-intrusive experimental methods in solid mechanics. This method…
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1978
1978
An information criterion for selecting the number of points in workpiece monitoring
V. Gurevich
,
B. Pitskel
,
V. A. Ratmirov
1978
Corpus ID: 120523471
Conclusions1. A formula has been derived that allows one to predict the required interval between checkpoints to ensure minimum…
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