Description
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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Contributors
- Jiang, Junjie (Author)
- Huang, Zi-Gang (Author)
- Huang, Liang (Author)
- Liu, Huan (Author)
- Lai, Ying-Cheng (Author)
- Ira A. Fulton Schools of Engineering (Contributor)
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2016-04-12
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Identifier
- Digital object identifier: 10.1038/srep24088
- Identifier TypeInternational standard serial numberIdentifier Value2045-2322
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- The final version of this article, as published in Scientific Reports, can be viewed online at: https://www.nature.com/articles/srep24088, opens in a new window
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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