Detecting directional couplings from multivariate flows by the joint distance distribution

Research article (Chaos An Interdisciplinary Journal of Nonlinear Science, 2018) · cited 14× · AI/ML
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Detecting directional couplings from multivariate flows by the joint distance distribution

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Detecting directional couplings from multivariate flows by the joint distance distribution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detecting directional couplings from multivariate flows by the joint distance distribution. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-directional-couplings-from-multivariate-flows-by-the-joint-distance-distribution
MLA “Detecting directional couplings from multivariate flows by the joint distance distribution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-directional-couplings-from-multivariate-flows-by-the-joint-distance-distribution.
BibTeX @misc{4ortxyz_detecting-directional-couplings-from-multivariate-flows-by-the-joint-distance-distribution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting directional couplings from multivariate flows by the joint distance distribution}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-directional-couplings-from-multivariate-flows-by-the-joint-distance-distribution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting directional couplings from multivariate flows by the joint distance distribution — https://4ort.xyz/entity/detecting-directional-couplings-from-multivariate-flows-by-the-joint-distance-distribution (retrieved 2026-05-24)

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