Recurrence measure of conditional dependence and applications.

Abstract

Identifying causal relations from observational data sets has posed great challenges in data-driven causality inference studies. One of the successful approaches to detect direct coupling in the information theory framework is transfer entropy. However, the core of entropy-based tools lies on the probability estimation of the underlying variables. Here we… (More)
DOI: 10.1103/PhysRevE.95.052206

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