Fast and effective pseudo transfer entropy for bivariate data-driven causal inference
Abstract Identifying, from time series analysis, reliable indicators of causal relationships is essential for many disciplines. Main challenges are distinguishing correlation from causality and discriminating between direct and indirect interactions. Over the years many methods for data-driven causa...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/e163728f51ca4d9588d462cb776638de |
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