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On the Use of Entropy to Improve Model Selection Criteria

The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) and the Akaike Information Criterion (AIC), are expressed in terms of synthetic indicators of the residual distribution: the variance and the mean-squared error of the residuals respectively. In many app...

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Publicat a:Entropy (Basel)
Autors principals: Murari, Andrea, Peluso, Emmanuele, Cianfrani, Francesco, Gaudio, Pasquale, Lungaroni, Michele
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7514877/
https://ncbi.nlm.nih.gov/pubmed/33267107
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21040394
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