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...

Descripción completa

Detalles Bibliográficos
Autores principales: Murari, Andrea, Peluso, Emmanuele, Cianfrani, Francesco, Gaudio, Pasquale, Lungaroni, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514877/
https://www.ncbi.nlm.nih.gov/pubmed/33267107
http://dx.doi.org/10.3390/e21040394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514877/
https://www.ncbi.nlm.nih.gov/pubmed/33267107
http://dx.doi.org/10.3390/e21040394

Ejemplares similares