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Granger causality and information flow in multivariate processes.

Katarzyna J Blinowska·Rafał Kuś·Maciej Kamiński
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Abstract

The multivariate versus bivariate measures of Granger causality were considered. Granger causality in the application to multivariate physiological time series has the meaning of the information flow between channels. It was shown by means of simulations and by the example of experimental electroencephalogram signals that bivariate estimates of directionality in case of mutually interdependent channels give erroneous results, therefore multivariate measures such as directed transfer function should be used for determination of the information flow.

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AlgorithmsBrainBrain MappingCausalityComputer SimulationDiagnosis, Computer-AssistedElectroencephalographyHumansInformation Storage and RetrievalModels, NeurologicalModels, StatisticalMultivariate AnalysisNerve NetStatistics as TopicSynaptic TransmissionJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

Katarzyna J Blinowska, Rafał Kuś, Maciej Kamiński. 2004-11-22. Granger causality and information flow in multivariate processes.. https://doi.org/10.1103/physreve.70.050902

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