AbstractLet X,X1,X2,… be a sequence of i.i.d. random variables such that EX=0, let Z be a random variable possessing a stable distribution G with exponent α, 1<α≤2, assume the distribution of X is attracted to G, and set Sn=X1+···+Xn. We prove that∑n≥1nr/p−2P|Sn|≥εn1/p∼ε−(αp/(α−p))(r/p−1)pr−pE|Z|(αp/(α−p))(r/p−1)as ε↘0,for 1≤p<r<α, under the additional assumption that there is normal attraction to G, and that∑n≥11nP|Sn|≥εn1/p∼αpα−p−logεas ε↘0,for 1≤p<α.We close with a related result for the limiting case α=r=p=2
AbstractWe consider partial sums Sn=X1+X2+⋯+Xn,n∈N, of i.i.d. random variables with moments E(X1)=0,...
We establish a new upper bound for the Kullback-Leibler divergence of two discrete probability distr...
Complete Convergence, Tail Probabilities of Sums of i.i.d Random Variables, the Law of the Logarithm...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
Let $S_{0}=0,\{S_{n}\}_{n\geq1}$ be a random walk generated by a sequence of i.i.d. random variables...
Asymptotic formulas for large-deviation probabilities of a ladder height in a random walk generated...
AbstractGut and Spătaru (J. Math. Anal. Appl. 248 (2000) 233–246) proved a precise asymptotic theore...
AbstractIn this paper we obtain an estimate of the rate of convergence of modified Szász–Mirakyan op...
Contains a correction with respect to the printed versionWe provide sharp estimates for the number o...
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means, set Sn...
AbstractLet {Xk,k∈Z} be a stationary process with mean 0 and finite variances, let ϕh=E(XkXk+h) be t...
International audienceIt is well known that the sequence $\varphi(n)/n$, n=1,2,... has a singular as...
AbstractLet {X,Xk,k⩾1} be a sequence of negatively associated random variables with a common distrib...
AbstractLet {X,Xk,i;i≥1,k≥1} be a double array of nondegenerate i.i.d. random variables and let {pn;...
AbstractWe consider partial sums Sn=X1+X2+⋯+Xn,n∈N, of i.i.d. random variables with moments E(X1)=0,...
We establish a new upper bound for the Kullback-Leibler divergence of two discrete probability distr...
Complete Convergence, Tail Probabilities of Sums of i.i.d Random Variables, the Law of the Logarithm...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
Let $S_{0}=0,\{S_{n}\}_{n\geq1}$ be a random walk generated by a sequence of i.i.d. random variables...
Asymptotic formulas for large-deviation probabilities of a ladder height in a random walk generated...
AbstractGut and Spătaru (J. Math. Anal. Appl. 248 (2000) 233–246) proved a precise asymptotic theore...
AbstractIn this paper we obtain an estimate of the rate of convergence of modified Szász–Mirakyan op...
Contains a correction with respect to the printed versionWe provide sharp estimates for the number o...
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means, set Sn...
AbstractLet {Xk,k∈Z} be a stationary process with mean 0 and finite variances, let ϕh=E(XkXk+h) be t...
International audienceIt is well known that the sequence $\varphi(n)/n$, n=1,2,... has a singular as...
AbstractLet {X,Xk,k⩾1} be a sequence of negatively associated random variables with a common distrib...
AbstractLet {X,Xk,i;i≥1,k≥1} be a double array of nondegenerate i.i.d. random variables and let {pn;...
AbstractWe consider partial sums Sn=X1+X2+⋯+Xn,n∈N, of i.i.d. random variables with moments E(X1)=0,...
We establish a new upper bound for the Kullback-Leibler divergence of two discrete probability distr...
Complete Convergence, Tail Probabilities of Sums of i.i.d Random Variables, the Law of the Logarithm...