A concentration property of the functional −log f(X) is demonstrated, when a random vector X has a log-concave density f on ℝn. This concentration property implies in particular an extension of the Shannon–McMillan–Breiman strong ergodic theorem to the class of discrete-time stochastic processes with log-concave marginals.
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Bobkov et al. (2011) studied this question.
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