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Compression complexity with ordinal patterns for robust causal inference in irregularly sampled time series

Distinguishing cause from effect is a scientific challenge resisting solutions from mathematics, statistics, information theory and computer science. Compression-Complexity Causality (CCC) is a recently proposed interventional measure of causality, inspired by Wiener–Granger’s idea. It estimates cau...

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Detalles Bibliográficos
Autores principales:	Kathpalia, Aditi, Manshour, Pouya, Paluš, Milan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391387/ https://www.ncbi.nlm.nih.gov/pubmed/35986037 http://dx.doi.org/10.1038/s41598-022-18288-4

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