Abstract
Statistical relationships among the variables of a complex system reveal a lot about its physical behavior[...].
Highlights
Statistical relationships among the variables of a complex system reveal a lot about its physical behavior
The Granger causality has been addressed in many fields, such as biomedicine, atmospheric sciences, fluid dynamics, finance, and neuroscience
Unlike Granger causality, Transfer Entropy (TE) is a quantity that is directly estimated from data and it does not suffer from such constraints
Summary
Statistical relationships among the variables of a complex system reveal a lot about its physical behavior. TE can be expressed in terms of other information-theoretic quantities, such as Shannon entropy and MI, which are functions of the probability distributions of the variables. Special Issue has been organized to collect distinctive approaches in one publication, as a reference tool for the theory and applications of TE.
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