Topological features determining the error in the inference of networks using transfer entropy

DOI10.3934/mine.2020003OpenAlexW2982523412WikidataQ126867127 ScholiaQ126867127MaRDI QIDQ2099369

Maurizio Porfiri, Roy H. Goodman

Publication date: 23 November 2022

Published in: Mathematics in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mine.2020003

zbMATH Keywords

perturbation theorydiscrete systemsMarkov chaininformation theoryBoolean networkdata-drivenpolicy diffusion

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10) Measures of information, entropy (94A17) Information theory (general) (94A15) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Deriving pairwise transfer entropy from network structure and motifs

Cites Work

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• 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
• Estimation of Entropy and Mutual Information
• Synchronization in chaotic systems
• Causal Network Inference by Optimal Causation Entropy
• Scalar, Vector, and Matrix Mathematics

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