AbstractHerein, we generalize and extend some standard results on the separation and convergence of probability measures. We use homeomorphism-based methods and work on incomplete metric spaces, Skorokhod spaces, Lusin spaces or general topological spaces. Our contributions are twofold: we dramatically simplify the proofs of several basic results in weak convergence theory and, concurrently, extend these results to apply more immediately in a number of settings, including on Lusin spaces
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
The hypo-convergence of upper semicontinuous functions provides a natural framework for the study of...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
A large number of results are available about the weak convergence of probability measures in spaces...
A large number of results are available about the weak convergence of probability measures in spaces...
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...
This book provides a thorough exposition of the main concepts and results related to various types o...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
Weak convergence of probability measures on function spaces has been active area of research in rece...
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: ...
AbstractFor a nonatomic Borel probability measure μ on a Polish space X, an isomorphism from (X, μ) ...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
The hypo-convergence of upper semicontinuous functions provides a natural framework for the study of...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
A large number of results are available about the weak convergence of probability measures in spaces...
A large number of results are available about the weak convergence of probability measures in spaces...
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...
This book provides a thorough exposition of the main concepts and results related to various types o...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
Weak convergence of probability measures on function spaces has been active area of research in rece...
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: ...
AbstractFor a nonatomic Borel probability measure μ on a Polish space X, an isomorphism from (X, μ) ...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
The hypo-convergence of upper semicontinuous functions provides a natural framework for the study of...
We first consider convergence in law of measurable processes with a general parameter set and a stat...