Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems

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 (AIC) are the most popular and better underst...

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Detalles Bibliográficos
Autores principales: Spolladore, Luca, Gelfusa, Michela, Rossi, Riccardo, Murari, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464864/
https://www.ncbi.nlm.nih.gov/pubmed/34573827
http://dx.doi.org/10.3390/e23091202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464864/
https://www.ncbi.nlm.nih.gov/pubmed/34573827
http://dx.doi.org/10.3390/e23091202

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