Inferring direct directed-information flow from multivariate nonlinear time series

Michael Jachan, Kathrin Henschel, Jakob Nawrath, Ariane Schad, Jens Timmer, Bjoern Schelter

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Estimating the functional topology of a network from multivariate observations is an important task in nonlinear dynamics. We introduce the nonparametric partial directed coherence that allows disentanglement of direct and indirect connections and their directions. We illustrate the performance of the nonparametric partial directed coherence by means of a simulation with data from synchronized nonlinear oscillators and apply it to real-world data from a patient suffering from essential tremor.

Original languageEnglish
Article number011138
Number of pages5
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Issue number1
Publication statusPublished - Jul 2009

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