HIGHLIGHTS
- who: Charles K. Assaad and colleagues from the RandD Department, EasyVista, Grenoble, France Department of Mathematics, Information and Communication Sciences, University of Grenoble Alpes, CNRS have published the article: Entropy-Based Discovery of Summary Causal Graphs in Time Series, in the Journal: Entropy 2022, 24, 1156. of 19/08/2022
- what: The authors focus in this study on the summary causal graph, as it provides a simple and efficient view on the causal relations that exist between time series. Of all, the authors propose a new causal temporal mutual information measure defined on a window . . .
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