Cargando…
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...
Autores principales: | Abdul Razak, Fatimah, Jensen, Henrik Jeldtoft |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067287/ https://www.ncbi.nlm.nih.gov/pubmed/24955766 http://dx.doi.org/10.1371/journal.pone.0099462 |
Ejemplares similares
-
Universality Classes and Information-Theoretic Measures of Complexity via Group Entropies
por: Tempesta, Piergiulio, et al.
Publicado: (2020) -
Group Entropies: From Phase Space Geometry to Entropy Functionals via Group Theory
por: Jeldtoft Jensen, Henrik, et al.
Publicado: (2018) -
The Causal Inference of Cortical Neural Networks during Music Improvisations
por: Wan, Xiaogeng, et al.
Publicado: (2014) -
An improved methodology for quantifying causality in complex ecological systems
por: Solvang, Hiroko Kato, et al.
Publicado: (2019) -
Self-organized criticality: emergent complex behaviour in physical and biological systems
por: Jeldtoft-Jensen, H
Publicado: (1998)