For product probability measures \mu^n, we obtain necessary and sufficient conditions (in terms of \mu) for dimension free isoperimetric inequalities of the form \mu^n (A + h[-1,1]^n)\ge R_h(\mu^n(A)) to hold; for a function R such that R(p) > p, for all (some) p \in (0,1), and for h > 0 large enough. Some questions related to the concentration of measure phenomenon are also discussed.ISF NXZ000, NXZ300 and Grant No. 94-1.4-57 from the Grant Center of Fundamental Sciences in Sankt-Petersburg Universit
Abstract. We prove that a probability measure on an abstract metric space satisfies a non trivial di...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...
Abstract. In a remarkable series of works, E. Milman recently showed how to reverse the usual hierar...
For product probability measures ¯ n , we obtain necessary and sufficient conditions (in terms of ...
A dimension free lower bound is found for isoperimetric constants of product probability measures. ...
Consider a product of measure spaces, provided with the product measure. Consider a subset A of this...
In this paper, we derive variational formulas for the asymptotic exponents of the concentration and ...
We consider a random variable X that takes values in a (possibly infinite-dimensional) topological v...
We consider a random variable X that takes values in a (possibly infinite-dimensional) topological v...
International audienceThis paper is devoted to the concentration properties of product probability m...
International audienceThis paper is devoted to the concentration properties of product probability m...
Abstract. In this paper, we consider Poincaré inequalities for non-Euclidean metrics on Rd. These in...
If the half-spaces of the form {x\in R^n: x_1 \le c} are extremal in the isoperimetric problem for ...
Let $n\geq 1$, $K>0$, and let $X=(X_1,X_2,\dots,X_n)$ be a random vector in $\mathbb{R}^n$ with inde...
We prove that a probability measure on an abstract metric space satisfies a non trivial dimension fr...
Abstract. We prove that a probability measure on an abstract metric space satisfies a non trivial di...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...
Abstract. In a remarkable series of works, E. Milman recently showed how to reverse the usual hierar...
For product probability measures ¯ n , we obtain necessary and sufficient conditions (in terms of ...
A dimension free lower bound is found for isoperimetric constants of product probability measures. ...
Consider a product of measure spaces, provided with the product measure. Consider a subset A of this...
In this paper, we derive variational formulas for the asymptotic exponents of the concentration and ...
We consider a random variable X that takes values in a (possibly infinite-dimensional) topological v...
We consider a random variable X that takes values in a (possibly infinite-dimensional) topological v...
International audienceThis paper is devoted to the concentration properties of product probability m...
International audienceThis paper is devoted to the concentration properties of product probability m...
Abstract. In this paper, we consider Poincaré inequalities for non-Euclidean metrics on Rd. These in...
If the half-spaces of the form {x\in R^n: x_1 \le c} are extremal in the isoperimetric problem for ...
Let $n\geq 1$, $K>0$, and let $X=(X_1,X_2,\dots,X_n)$ be a random vector in $\mathbb{R}^n$ with inde...
We prove that a probability measure on an abstract metric space satisfies a non trivial dimension fr...
Abstract. We prove that a probability measure on an abstract metric space satisfies a non trivial di...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...
Abstract. In a remarkable series of works, E. Milman recently showed how to reverse the usual hierar...