Improving on transfer entropy-based network reconstruction using time-delays: Approach and validation

DOI10.1063/1.5115510zbMath1432.37108OpenAlexW3005822039WikidataQ89953251 ScholiaQ89953251MaRDI QIDQ5220496

Maurizio Porfiri, Rifat Sipahi

Publication date: 26 March 2020

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5115510

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Measures of information, entropy (94A17)

Related Items

Shortcomings of Transfer Entropy and Partial Transfer Entropy: Extending Them to Escape the Curse of Dimensionality

Uses Software

• TRENTOOL
• JIDT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Path Laplacian matrices: introduction and application to the analysis of consensus in networks
• Multi-agent consensus using both current and outdated states with fixed and undirected interaction
• Reliability of inference of directed climate networks using conditional mutual information
• Windows of opportunity for synchronization in stochastically coupled maps
• Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions
• Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
• Dynamical systems, ergodic theory and applications. Edited by Ya. G. Sinai. Transl. from the Russian
• Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings
• Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity
• An Introduction to Transfer Entropy
• Inference of time-varying networks through transfer entropy, the case of a Boolean network model
• Causal network reconstruction from time series: From theoretical assumptions to practical estimation
• Necessary and Sufficient Conditions for Dynamical Structure Reconstruction of LTI Networks
• Causal Network Inference by Optimal Causation Entropy
• Memory Matters in Synchronization of Stochastically Coupled Maps
• On the Problem of Reconstructing an Unknown Topology via Locality Properties of the Wiener Filter
• Networks