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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |