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A Note on Causation versus Correlation in an Extreme Situation
Recently, it has been shown that the information flow and causality between two time series can be inferred in a rigorous and quantitative sense, and, besides, the resulting causality can be normalized. A corollary that follows is, in the linear limit, causation implies correlation, while correlatio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001367/ https://www.ncbi.nlm.nih.gov/pubmed/33799929 http://dx.doi.org/10.3390/e23030316 |