Cargando…
Correlation Dimension Detects Causal Links in Coupled Dynamical Systems
It is becoming increasingly clear that causal analysis of dynamical systems requires different approaches than, for example, causal analysis of interconnected autoregressive processes. In this study, a correlation dimension estimated in reconstructed state spaces is used to detect causality. If dete...
Autor principal: | Krakovská, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515347/ http://dx.doi.org/10.3390/e21090818 |
Ejemplares similares
-
Granger Causality on forward and Reversed Time Series
por: Chvosteková, Martina, et al.
Publicado: (2021) -
Letter to the editor of Heliyon re: Grassmann, G. “New considerations on the validity of the Wiener-Granger causality test” [Heliyon 6 (2020) e05208]
por: Chvosteková, Martina, et al.
Publicado: (2021) -
Dynamic Causal Models for phase coupling
por: Penny, W.D., et al.
Publicado: (2009) -
Confounding Effects of Phase Delays on Causality Estimation
por: Vakorin, Vasily A., et al.
Publicado: (2013) -
Causality Analysis: Identifying the Leading Element in a Coupled Dynamical System
por: BozorgMagham, Amir E., et al.
Publicado: (2015)