Dynamic granger causality analysis of multivariate time series based on deep learning

： A significant issue in the study of complex dynamical systems is to discover the interaction between the components stored in the form of multivariate time series. Compared with the correlation, causality further explores the essential mechanism of the system, and plays a great role in the study of complex dynamic systems in a way beyond simple correlation analysis. Granger causality analysis

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