AbstractLet Xi be iidrv's and Sn=X1+X2+…+Xn. When EX21<+∞, by the law of the iterated logarithm (Sn−αn)(n log n)12→0 a.s. for some constants αn. Thus the r.v. Y=supn⩾1[|Sn−αn|−(δn log n)12]+ is a.s.finite when δ>0. We prove a rate of convergence theorem related to the classical results of Baum and Katz, and apply it to show, without the prior assumption EX21<+∞ that EYh<+∞ if and only if E|X1|2+h[log|X1|]-1<+∞ for 0<h<1 and δ> hE(X1−EX1)2, whereas EYh=+∞ whenever h>0 and 0<δ<hE(X1−EX1)2
We present a general technique for obtaining bounds on the deviation of the optimal value of some st...
AbstractLet B(s, t), s, t > 0, be a Brownian sheet. In contrast to the usual law of the iterated log...
AbstractLet Sn denote the partial sum of an i.i.d. sequence of centred random variables having a fin...
AbstractLet Xi be iidrv's and Sn=X1+X2+…+Xn. When EX21<+∞, by the law of the iterated logarithm (Sn−...
AbstractLet {X, Xn; n ≥ 1} be a sequence of i.i.d. random variables. Set Sn = X1 + X2 + … + Xn and M...
AbstractIn this paper we extend well-known results by Baum and Katz (1965) and others on the rate of...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
AbstractIn this article we derive rates of convergence to normality for randomly stopped sums of sui...
AbstractIn this paper, we investigate the rate of convergence for general d-dimensional stochastic a...
AbstractLet X1, X2,… be independent random variables with a common continuous distribution function....
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
AbstractIn this article we study the distribution of the maximum of random variables till the corres...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
This study falls into two parts: in the first part (Chapters 2, 2A and 3) we examine the Chebyshev ...
AbstractThe analysis of asymptotic behaviour of stochastic approximation procedures rests heavily on...
We present a general technique for obtaining bounds on the deviation of the optimal value of some st...
AbstractLet B(s, t), s, t > 0, be a Brownian sheet. In contrast to the usual law of the iterated log...
AbstractLet Sn denote the partial sum of an i.i.d. sequence of centred random variables having a fin...
AbstractLet Xi be iidrv's and Sn=X1+X2+…+Xn. When EX21<+∞, by the law of the iterated logarithm (Sn−...
AbstractLet {X, Xn; n ≥ 1} be a sequence of i.i.d. random variables. Set Sn = X1 + X2 + … + Xn and M...
AbstractIn this paper we extend well-known results by Baum and Katz (1965) and others on the rate of...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
AbstractIn this article we derive rates of convergence to normality for randomly stopped sums of sui...
AbstractIn this paper, we investigate the rate of convergence for general d-dimensional stochastic a...
AbstractLet X1, X2,… be independent random variables with a common continuous distribution function....
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
AbstractIn this article we study the distribution of the maximum of random variables till the corres...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
This study falls into two parts: in the first part (Chapters 2, 2A and 3) we examine the Chebyshev ...
AbstractThe analysis of asymptotic behaviour of stochastic approximation procedures rests heavily on...
We present a general technique for obtaining bounds on the deviation of the optimal value of some st...
AbstractLet B(s, t), s, t > 0, be a Brownian sheet. In contrast to the usual law of the iterated log...
AbstractLet Sn denote the partial sum of an i.i.d. sequence of centred random variables having a fin...