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Towards a new viewpoint on causality for time series

Michel Fliess 1, 2, * Cédric Join 2, 3, 4
Abstract : Causation between time series is a most important topic in econometrics, financial engineering, biological and psychological sciences, and many other fields. A new setting is introduced for examining this rather abstract concept. The corresponding calculations, which are much easier than those required by the celebrated Granger-causality, do not necessitate any deterministic or probabilistic modeling. Some convincing computer simulations are presented.
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Submitted on : Monday, September 15, 2014 - 9:18:22 PM
Last modification on : Friday, December 13, 2019 - 10:22:07 AM
Document(s) archivé(s) le : Tuesday, December 16, 2014 - 11:45:42 AM


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  • HAL Id : hal-00991942, version 2


Michel Fliess, Cédric Join. Towards a new viewpoint on causality for time series. Colloque Modélisation, Contrôle et Analyse des Systèmes en l'honneur du Professeur Abdelhaq EL JAI, May 2014, Ifrane, Morocco. ⟨hal-00991942v2⟩



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