Anomalies are detected by measuring deviations in dynamic, gradient-based Granger causality patterns between time series variables.
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GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Anomalies are detected by measuring deviations in dynamic, gradient-based Granger causality patterns between time series variables.