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Given n (discrete or continuous) random variables Xi, the (2n - 1)-dimensional vector obtained by evaluating the joint entropy of all non-empty subsets of {X1,hellip, Xn} is called an entropic vector. Determining the region of entropic vectors is an important open problem in information theory. Recently, Chan has shown that the entropy regions for discrete and continuous random variables, though different,...
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