Quantifying 'causality' in complex systems: understanding transfer entropy.
'Causal' direction is of great importance when dealing with complex systems. Often big volumes of data in the form of time series are available and it is important to develop methods that can inform about possible causal connections between the different observables. Here we investigate the ability...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science (PLoS)
2014-01-01
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| Collection: | PLoS ONE |
| Accès en ligne: | http://europepmc.org/articles/PMC4067287?pdf=render |
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