Bayesian inference of causal relations between dynamical systems

Zsigmond Benkő, Ádám Zlatniczki, Marcell Stippinger, Dániel Fabó, András Sólyom, Loránd Erőss, András Telcs and Zoltán Somogyvári

Chaos, Solitons & Fractals, 2024, vol. 185, issue C

Abstract: From ancient philosophers to modern economists, biologists, and other researchers, there has been a continuous effort to unveil causal relations. The most formidable challenge lies in deducing the nature of the causal relationship: whether it is unidirectional, bidirectional, or merely apparent — implied by an unobserved common cause.

Keywords: Causal analysis; Bayesian inference; Time series; Takens’ theorem; Topological embedding; Intrinsic dimension; Epileptic focus localization; EEG analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:185:y:2024:i:c:s0960077924006945

DOI: 10.1016/j.chaos.2024.115142

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