Código QR (código de barras bidimensional)

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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Principais autores: Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2021-09-01
coleção:Entropy
Assuntos:
model selection criteria
Akaike information criterion
Bayesian information criterion
overfitting
redundancy
variable selection
Acesso em linha:https://www.mdpi.com/1099-4300/23/9/1202
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