Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques

The increasingly sophisticated investigations of complex systems require more robust estimates of the correlations between the measured quantities. The traditional Pearson correlation coefficient is easy to calculate but sensitive only to linear correlations. The total influence between quantities i...

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Detalles Bibliográficos
Autores principales: Murari, Andrea, Rossi, Riccardo, Lungaroni, Michele, Gaudio, Pasquale, Gelfusa, Michela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516551/
https://www.ncbi.nlm.nih.gov/pubmed/33285916
http://dx.doi.org/10.3390/e22020141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516551/
https://www.ncbi.nlm.nih.gov/pubmed/33285916
http://dx.doi.org/10.3390/e22020141

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