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 study the rates at which optimal estimators in the sample averageapproximation approach converge ...
ABSTRACT: Consider sequences {Xi}∞i=1 and {Yj}∞j=1 of independent and identically distributed (i.i.d...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
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...
AbstractLet {X,Xn;n⩾1} be a sequence of real-valued i.i.d. random variables with E(X)=0 and E(X2)=1,...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
Abstract Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $E...
Let X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
Abstract. Let fXi; i 1g be a sequence of i.i.d. nondegenerate random variables which is in the doma...
AbstractIn this paper we extend well-known results by Baum and Katz (1965) and others on the rate of...
AbstractLet {Xn,n⩾1} be a sequence of i.i.d. random vectors taking values in a 2-smooth separable Ba...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We study the rates at which optimal estimators in the sample averageapproximation approach converge ...
ABSTRACT: Consider sequences {Xi}∞i=1 and {Yj}∞j=1 of independent and identically distributed (i.i.d...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
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...
AbstractLet {X,Xn;n⩾1} be a sequence of real-valued i.i.d. random variables with E(X)=0 and E(X2)=1,...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
AbstractThe by now classical results on convergence rates in the law of large numbers involving the ...
Abstract Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $E...
Let X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
Abstract. Let fXi; i 1g be a sequence of i.i.d. nondegenerate random variables which is in the doma...
AbstractIn this paper we extend well-known results by Baum and Katz (1965) and others on the rate of...
AbstractLet {Xn,n⩾1} be a sequence of i.i.d. random vectors taking values in a 2-smooth separable Ba...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We study the rates at which optimal estimators in the sample averageapproximation approach converge ...
ABSTRACT: Consider sequences {Xi}∞i=1 and {Yj}∞j=1 of independent and identically distributed (i.i.d...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...