Conditional mutual information

Information theory
Entropy Differential entropy Conditional entropy Joint entropy Mutual information Directed information Conditional mutual information Relative entropy Entropy rate Limiting density of discrete points
Asymptotic equipartition property Rate–distortion theory
Shannon's source coding theorem Channel capacity Noisy-channel coding theorem Shannon–Hartley theorem
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In probability theory, particularly information theory, the conditional mutual information^[1][2] is, in its most basic form, the expected value of the mutual information of two random variables given the value of a third.