Add to ORKGThe hypo-convergence of upper semicontinuous functions provides a natural framework for the study of the convergence of probability measures. This approach also yields some further characterizations of weak convergence and tightness
AbstractEmpirical processes of U-statistic structure indexed by Vapnik-Chervonenkis classes of sets ...
A large number of results are available about the weak convergence of probability measures in spaces...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
This book provides a thorough exposition of the main concepts and results related to various types o...
In this thesis we define two most common types of convergence of probability measures and show relat...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
The purpose of this course was to present results on weak convergence and invariance principle with ...
Weak convergence of probability measures on function spaces has been active area of research in rece...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
Praca została poświęcona zagadnieniu słabej zbieżności miar probabilistycznych. Pierwszy rozdział pr...
AbstractWe discuss three forms of convergence in distribution which are stronger than the normal wea...
AbstractEmpirical processes of U-statistic structure indexed by Vapnik-Chervonenkis classes of sets ...
A large number of results are available about the weak convergence of probability measures in spaces...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
This book provides a thorough exposition of the main concepts and results related to various types o...
In this thesis we define two most common types of convergence of probability measures and show relat...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
The purpose of this course was to present results on weak convergence and invariance principle with ...
Weak convergence of probability measures on function spaces has been active area of research in rece...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
Praca została poświęcona zagadnieniu słabej zbieżności miar probabilistycznych. Pierwszy rozdział pr...
AbstractWe discuss three forms of convergence in distribution which are stronger than the normal wea...
AbstractEmpirical processes of U-statistic structure indexed by Vapnik-Chervonenkis classes of sets ...
A large number of results are available about the weak convergence of probability measures in spaces...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...