Results 31 to 40 of about 338,787 (319)
Knee Point Detection on Bayesian Information Criterion [PDF]
2008 20th IEEE International Conference on Tools with Artificial Intelligence, 2008 The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bayesian information criterion (BIC) often serves as a statistical criterion for model selection, which can also be used in solving model-based clustering problems, in particular
Qinpei Zhao, Mantao Xu, Pasi Fränti
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Entropy, 2021 Model selection criteria are widely used to identify the model that best represents the data among a set of potential candidates. Amidst the different model selection criteria, the Bayesian information criterion (BIC) and the Akaike information criterion
Luca Spolladore +3 more
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Model Selection Principles in Misspecified Models [PDF]
, 2016 Model selection is of fundamental importance to high dimensional modeling featured in many contemporary applications. Classical principles of model selection include the Kullback-Leibler divergence principle and the Bayesian principle, which lead to the ...
Akaike +35 more
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Deviance information criterion (DIC) in Bayesian multiple QTL mapping [PDF]
Computational Statistics & Data Analysis, 2009 Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model comparison but has not been applied to Bayesian ...
Shriner, Daniel, Yi, Nengjun
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BMC Bioinformatics, 2019 Background The epidermal growth factor receptor (EGFR) is a major regulator of proliferation in tumor cells. Elevated expression levels of EGFR are associated with prognosis and clinical outcomes of patients in a variety of tumor types.
Claus Weinholdt +7 more
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The Indian Journal of Agricultural Sciences, 2020 The objective of present investigation was to study the trends in harvested area, production and productivity, and growth rates of natural rubber (Hevea brasiliensis) in Tamil Nadu from April 1991 to March 2016 by employing parametric models. The annual
SHYJU MATHEW, RAMASAMY MURUGESAN
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Segmentation in singer turns with the Bayesian information criterion [PDF]
Interspeech 2014, 2014 As part of a project on indexing ethno-musicological audio recordings, segmentation in singer turns automatically appeared to be essential. In this article, we present the problem of segmentation in singer turns of musical recordings and our first experiments in this direction by exploring a method based on the Bayesian Information Criterion (BIC ...
Thlithi, Marwa +3 more
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Correction to: A cross-validation-based approach for delimiting reliable home range estimates
Movement Ecology, 2017 The results presented throughout were based on an alternative Information Criterion (IC) equation that did not appear in the original article. The alternate formulation (akin to the Bayesian Information Criterion, rather than Akaike’s Information ...
Eric R. Dougherty +3 more
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Wilcoxon-type generalized Bayesian information criterion [PDF]
Biometrika, 2009 We develop a generalized Bayesian information criterion for regression model selection. The new criterion relaxes the usually strong distributional assumption associated with Schwarz's bic by adopting a Wilcoxon-type dispersion function and appropriately adjusting the penalty term.
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