Optimal Concentration of Information Content For Log-Concave Densities
classification
🧮 math.PR
cs.ITmath.FAmath.IT
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boundscontentdensitiesinformationlog-concavebobkovconcentrationdeviations
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An elementary proof is provided of sharp bounds for the varentropy of random vectors with log-concave densities, as well as for deviations of the information content from its mean. These bounds significantly improve on the bounds obtained by Bobkov and Madiman ({\it Ann. Probab.}, 39(4):1528--1543, 2011).
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