We prove that the exponent of the entropy of one-dimensional projections of a log-concave random vector defines a 1/5-seminorm. We make two conjectures concerning reverse entropy power inequalities in the log-concave setting and discuss some examples
We prove a quantitative dimension-free bound in the Shannon{Stam en- tropy inequality for the convol...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
Using a sharp version of the reverse Young inequality, and a Renyi entropy comparison result due to ...
Using a sharp version of the reverse Young inequality, and a Renyi entropy comparison result due to ...
We show that for log-concave real random variables with fixed variance the Shannon differential entr...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
AbstractWe develop a reverse entropy power inequality for convex measures, which may be seen as an a...
We utilize and extend a simple and classical mechanism, combining log-concavity and majorization in ...
We derive a lower bound on the differential entropy for symmetric log-concave random variable X in t...
We derive a lower bound on the differential entropy for symmetric log-concave random variable X in t...
AbstractWe develop a reverse entropy power inequality for convex measures, which may be seen as an a...
Aim of this short note is to study Shannon's entropy power along entropic interpolations, thus gener...
We prove a quantitative dimension-free bound in the Shannon{Stam en- tropy inequality for the convol...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
Using a sharp version of the reverse Young inequality, and a Renyi entropy comparison result due to ...
Using a sharp version of the reverse Young inequality, and a Renyi entropy comparison result due to ...
We show that for log-concave real random variables with fixed variance the Shannon differential entr...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
We derive a lower bound on the differential entropy of a log-concave random variable X in terms of t...
AbstractWe develop a reverse entropy power inequality for convex measures, which may be seen as an a...
We utilize and extend a simple and classical mechanism, combining log-concavity and majorization in ...
We derive a lower bound on the differential entropy for symmetric log-concave random variable X in t...
We derive a lower bound on the differential entropy for symmetric log-concave random variable X in t...
AbstractWe develop a reverse entropy power inequality for convex measures, which may be seen as an a...
Aim of this short note is to study Shannon's entropy power along entropic interpolations, thus gener...
We prove a quantitative dimension-free bound in the Shannon{Stam en- tropy inequality for the convol...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...
We prove that the reciprocal of Fisher information of a logconcave probability density is concave in...