AbstractIt is well known that under suitable extreme point conditions for the limit function, weak convergence in an L1-space can imply strong convergence. T. Rzez̆uchowski [Bull. Austral. Math. Soc. 39 (1989), 201–214] has shown that a similar phenomenon can occur under an extremal subset condition. We generalize his result in several respects by means of the associated Young measures, similar to the analysis given in [E. J. Balder, Bull. Austral. Math. Soc. 33 (1986), 363–368]
Recently, statistical convergence has become an active area of research and many articles were publi...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
We show that if a Banach spaceX is weakly compactly generated and C, Cn are weak-star-closed bounded...
AbstractIt is well known that under suitable extreme point conditions for the limit function, weak c...
A generalized version of Komlos' theorem [6], combined with a useful property of denting points in t...
This paper proves weak convergence in D of the tail empirical process – the renormalized extreme tai...
Let {X(n), n greater-than-or-equal-to 1} be a sequence of independent random variables and M(n) = ma...
summary:A sequence of random elements $\{X_j, j\in J\}$ is called strongly tight if for an arbitrary...
The author generalizes the classical notions of weak convergence and strong convergence in measure t...
AbstractThe concept of weak convergence of measures on topological spaces depends on a topology of t...
AbstractWe study those filters F on N for which weak F-convergence of bounded sequences in C(K) is e...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
We use (quasi-) Young measures associated with strictly monotonic functions with a differentiable in...
Weak convergence of probability measures on function spaces has been active area of research in rece...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
Recently, statistical convergence has become an active area of research and many articles were publi...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
We show that if a Banach spaceX is weakly compactly generated and C, Cn are weak-star-closed bounded...
AbstractIt is well known that under suitable extreme point conditions for the limit function, weak c...
A generalized version of Komlos' theorem [6], combined with a useful property of denting points in t...
This paper proves weak convergence in D of the tail empirical process – the renormalized extreme tai...
Let {X(n), n greater-than-or-equal-to 1} be a sequence of independent random variables and M(n) = ma...
summary:A sequence of random elements $\{X_j, j\in J\}$ is called strongly tight if for an arbitrary...
The author generalizes the classical notions of weak convergence and strong convergence in measure t...
AbstractThe concept of weak convergence of measures on topological spaces depends on a topology of t...
AbstractWe study those filters F on N for which weak F-convergence of bounded sequences in C(K) is e...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
We use (quasi-) Young measures associated with strictly monotonic functions with a differentiable in...
Weak convergence of probability measures on function spaces has been active area of research in rece...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
Recently, statistical convergence has become an active area of research and many articles were publi...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
We show that if a Banach spaceX is weakly compactly generated and C, Cn are weak-star-closed bounded...