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Successful identification of directed dynamical influence in complex systems is relevant to significant problems of current interest. Traditional methods based on Granger causality and transfer entropy have issues such as difficulty with nonlinearity and large data requirement. Recently a framework

Successful identification of directed dynamical influence in complex systems is relevant to significant problems of current interest. Traditional methods based on Granger causality and transfer entropy have issues such as difficulty with nonlinearity and large data requirement. Recently a framework based on nonlinear dynamical analysis was proposed to overcome these difficulties.

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    Date Created
    2016-04-12
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    Identifier
    • Digital object identifier: 10.1038/srep24088
    • Identifier Type
      International standard serial number
      Identifier Value
      2045-2322
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    Jiang, J., Huang, Z., Huang, L., Liu, H., & Lai, Y. (2016). Directed dynamical influence is more detectable with noise. Scientific Reports, 6(1). doi:10.1038/srep24088

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