The final version of this paper appears in: "Annals of Probability" 29 (2001): 447-466. Print.This paper considers how to measure the magnitude of the sum of independent random variables in several ways. We give a formula for the tail distribution for sequences that satisfy the so called Lévy property. We then give a connection between the tail distribution and the pth moment, and between the pth moment and the rearrangement invariant norms
We obtain concentration and large deviation for the sums of independent and identically distributed ...
ABSTRACT: Let Sk be the k-th partial sum of Banach space valued indepen-dent identically distributed...
AbstractThe paper deals with the invariance principle for sums of independent identically distribute...
This paper develops sharp bounds on moments of sums of k-wise independent bounded random variables, ...
Short noteIn this note we prove a bound of the tail probability for a sum of $n$ independent random ...
AbstractWe give a comparison inequality that allows one to estimate the tail probabilities of sums o...
Let $X_i$ be a sequence of independent symmetric real random variables with logarithmically concave ...
summary:Let $(X_n, n\ge 1), (\tilde{X}_n, n\ge 1)$ be two sequences of i.i.d. random vectors with va...
AbstractLet X1, X2,… be a sequence of i.i.d. random variables and Sn their partial sums. Necessary a...
This is the first article in a series of surveys devoted to the scientific achievements of the Leni...
AbstractWe consider linear combinations of independent identically distributed random variables in L...
研究了在概率空间(Ω,T,P)上,独立的无界随机变量和尾部概率不等式,提出了一种用切割原始概率空间(Ω,T,P)的新型方法去处理独立的无界随机变量和.给出了独立的无界随机变量和的指数型概率不等式.作为...
We prove a bound of the tail probability for a sum of n independent random variables. It can be appl...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
The tail probability inequalities for the sum of independent unbounded random variables on a probabi...
We obtain concentration and large deviation for the sums of independent and identically distributed ...
ABSTRACT: Let Sk be the k-th partial sum of Banach space valued indepen-dent identically distributed...
AbstractThe paper deals with the invariance principle for sums of independent identically distribute...
This paper develops sharp bounds on moments of sums of k-wise independent bounded random variables, ...
Short noteIn this note we prove a bound of the tail probability for a sum of $n$ independent random ...
AbstractWe give a comparison inequality that allows one to estimate the tail probabilities of sums o...
Let $X_i$ be a sequence of independent symmetric real random variables with logarithmically concave ...
summary:Let $(X_n, n\ge 1), (\tilde{X}_n, n\ge 1)$ be two sequences of i.i.d. random vectors with va...
AbstractLet X1, X2,… be a sequence of i.i.d. random variables and Sn their partial sums. Necessary a...
This is the first article in a series of surveys devoted to the scientific achievements of the Leni...
AbstractWe consider linear combinations of independent identically distributed random variables in L...
研究了在概率空间(Ω,T,P)上,独立的无界随机变量和尾部概率不等式,提出了一种用切割原始概率空间(Ω,T,P)的新型方法去处理独立的无界随机变量和.给出了独立的无界随机变量和的指数型概率不等式.作为...
We prove a bound of the tail probability for a sum of n independent random variables. It can be appl...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
The tail probability inequalities for the sum of independent unbounded random variables on a probabi...
We obtain concentration and large deviation for the sums of independent and identically distributed ...
ABSTRACT: Let Sk be the k-th partial sum of Banach space valued indepen-dent identically distributed...
AbstractThe paper deals with the invariance principle for sums of independent identically distribute...