Transfer entropy is a statistical measure used to quantify the amount of information transferred from one time series to another. It is particularly useful in the analysis of complex systems where the relationships between variables may not be linear or straightforward. Transfer entropy derives from concepts in information theory and is based on the idea of directed information flow.
Articles by others on the same topic
There are currently no matching articles.