A large number of results are available about the weak convergence of probability measures in spaces of continuous functions and spaces of cadlag functions. This paper presents similar results for spaces of smooth functions
AbstractWe give some easy methods to check sufficient conditions for the weak convergence of stochas...
We consider stochastic processes as random elements in some spaces of Hölder functions vanishing at ...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
A large number of results are available about the weak convergence of probability measures in spaces...
Weak convergence of probability measures on function spaces has been active area of research in rece...
In this thesis we define two most common types of convergence of probability measures and show relat...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
AbstractHerein, we generalize and extend some standard results on the separation and convergence of ...
This book provides a thorough exposition of the main concepts and results related to various types o...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
AbstractLet CE=C([01],E) be the Banach space, with the supremum norm, of all continuous functions f ...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
AbstractWe give some easy methods to check sufficient conditions for the weak convergence of stochas...
We consider stochastic processes as random elements in some spaces of Hölder functions vanishing at ...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
A large number of results are available about the weak convergence of probability measures in spaces...
Weak convergence of probability measures on function spaces has been active area of research in rece...
In this thesis we define two most common types of convergence of probability measures and show relat...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
AbstractHerein, we generalize and extend some standard results on the separation and convergence of ...
This book provides a thorough exposition of the main concepts and results related to various types o...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
AbstractLet CE=C([01],E) be the Banach space, with the supremum norm, of all continuous functions f ...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
AbstractWe give some easy methods to check sufficient conditions for the weak convergence of stochas...
We consider stochastic processes as random elements in some spaces of Hölder functions vanishing at ...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
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