Total correlation is a concept from information theory and statistics that measures the amount of dependence or shared information among a set of random variables. Unlike mutual information, which quantifies the shared information between two variables, total correlation extends this idea to multiple variables.
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The total correlation of a random vector isIt is nonnegative and vanishes exactly when the coordinates are independent.