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Publications scientifiques

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Critical study of aic model selection techniquesAkaike Information Criterion (AIC) has been used widely as a statistical criterion to compare the appropriateness of different parametric models underlying a particular dataset....

général - core.ac.uk - PDF: www.ideals.illinois.edu

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A note on conditional aic for linear mixed-effects modelsThe conventional model selection criterion, the Akaike information criterion, aic , has been applied to choose candidate models in mixed-effects models by the consideration of marginal likelihood....

général - core.ac.uk - PDF: hdl.handle.net

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Model comparison based on aic.a) Group-aggregate ΔAIC scores for each model were calculated by summing AIC scores over all subjects and then substracting each model's AIC score from the best-fitting model's AIC score, yielding...

général - core.ac.uk - PDF: figshare.com

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The modificatin of aic using denoising by waveletAbstract- Akaike’s Information Criterion (AIC) is a popular method for estimation the number of sources impinging on an array of sensors, which is a problem of great interest in several applications....

général - core.ac.uk - PDF: users.cecs.anu.edu.au

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Bias-corrected aic for selecting variables in poisson regression models... Akaike’s information criterion (AIC) is the most commonly applied criterion for selecting variables....

général - core.ac.uk - PDF: www.math.sci.hiroshima-u.ac.jp