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Differentiating information transfer and causal effect

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  • J. T. Lizier
  • M. Prokopenko

Abstract

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Suggested Citation

  • J. T. Lizier & M. Prokopenko, 2010. "Differentiating information transfer and causal effect," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(4), pages 605-615, February.
    • Handle: RePEc:spr:eurphb:v:73:y:2010:i:4:p:605-615
    DOI: 10.1140/epjb/e2010-00034-5
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    Cited by:

    1. Terry Bossomaier & Lionel Barnett & Adam Steen & Mike Harré & Steve d'Alessandro & Rod Duncan, 2018. "Information flow around stock market collapse," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 45-58, November.
    2. Michael Wibral & Nicolae Pampu & Viola Priesemann & Felix Siebenhühner & Hannes Seiwert & Michael Lindner & Joseph T Lizier & Raul Vicente, 2013. "Measuring Information-Transfer Delays," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-19, February.
    3. Xiaogeng Wan & Lanxi Xu, 2018. "A study for multiscale information transfer measures based on conditional mutual information," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-30, December.
    4. Wu, Zhenyu & Shang, Pengjian, 2017. "Nonlinear transformation on the transfer entropy of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 392-400.
    5. Wu, Zhe & Zhang, Qiang & Cheng, Lifeng & Hou, Shuyong & Tan, Shengyue, 2020. "The VMTES: Application to the structural health monitoring and diagnosis of rotating machines," Renewable Energy, Elsevier, vol. 162(C), pages 2380-2396.
    6. Zanin, Massimiliano & Papo, David, 2020. "Assessing functional propagation patterns in COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

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