activity
20042015
most citedMeasure concentration for Euclidean distance in the case of dependent random variables

62 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2015★ 15 cited

Logarithmic Sobolev inequalities in discrete product spaces: a proof by a transportation cost distance

Katalin Marton

The aim of this paper is to prove an inequality between relative entropy and the sum of average conditional relative entropies of the following form: For a fixed probability measur…

math.FA2012

An inequality for relative entropy and logarithmic Sobolev inequalities in Euclidean spaces

Katalin Marton

Let and denote density functions on the -dimensional Euclidean space, and let and $Q_i(\cdot|x_1,..., x_{i-1},x_{i+1…

math.PR2009★ 1 cited

Bounding relative entropy by the relative entropy of local specifications in product spaces

Katalin Marton

For a class of density functions on we prove an inequality between relative entropy and the sum of average conditional relative entropies of the following for…

math.PR2006★ 1 cited

An explicit bound on the Logarithmic Sobolev constant of weakly dependent random variables

Katalin Marton

We prove logarithmic Sobolev inequality for measures under the assumptions that: (i) the conditional…

math.PR2004★ 62 cited

Measure concentration for Euclidean distance in the case of dependent random variables

Katalin Marton

Let q^n be a continuous density function in n-dimensional Euclidean space. We think of q^n as the density function of some random sequence X^n with values in \BbbR^n. For I\subset[…