A general theory to estimate Information transfer in nonlinear systems-Reference-Cited by-同舟云学术

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A general theory to estimate Information transfer in nonlinear systems

Published:2024-02 Issue: Volume:458 Page:133988
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Pires Carlos A.^ORCID,Docquier David,Vannitsem Stéphane

Funder

Instituto Dom Luiz

Fundação para a Ciência e a Tecnologia

Belgian Federal Science Policy Office

Ministério da Ciência, Tecnologia e Ensino Superior

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference51 articles.

1. Causality: Models, Reasoning and Inference;Pearl,2009

2. Investigating causal relations by econometric models and cross-spectral methods;Granger;Econometrica,1969

3. A study of the air–sea interaction in the South Atlantic convergence zone through Granger causality Int;Tirabassi;J. Climatol,2015

4. Local atmosphere–ocean predictability: dynamical origins, lead times, and seasonality;Bach;J. Clim.,2019

5. The bidirectional communication theory–a generalization of information theory;Marko;IEEE Trans. Commun.,1973

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1. Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model;Quarterly Journal of the Royal Meteorological Society;2024-07-26

2. Study the impact of renewable and non-renewable energy sources on micro-grid using time series data based information transfer;Energy Reports;2024-06

3. Causal Links Between Sea‐Ice Variability in the Barents‐Kara Seas and Oceanic and Atmospheric Drivers;Geophysical Research Letters;2024-03-28

4. A comparison of two causal methods in the context of climate analyses;Nonlinear Processes in Geophysics;2024-02-27

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