Add to ORKGMany fundamental theorems in the classical countably additive probability theory are related with the notion of weak convergence of measures as, for instance, asymptotic results, Prokhorov theorems and metrizability conditions for the space of probability measures. In order to extend these results in a finitely additive setting, in this paper we introduce some different neighborhood systems for the topology of the weak convergence of masses
A large number of results are available about the weak convergence of probability measures in spaces...
AbstractIn this paper we introduce the notion of weak convergence for random sets in a separable Ban...
Abstract. Convergence in distribution is investigated in a finitely additive setting. Let Xn be maps...
The purpose of the paper is to study the topology of the weak convergence of masses (i.e. positive b...
We point out that the weak convergence and the convergence in distributions are not equivalent in a ...
The purpose of the paper is to continue and reinterpret de Finetti's work on adherent probabilities ...
We study the metrizability of the topology of weak convergence in the setting of finitely additive d...
Weak convergence of probability measures on function spaces has been active area of research in rece...
We introduce an abstract treatment of the weak convergence for bounded monotone set functions which ...
This book provides a thorough exposition of the main concepts and results related to various types o...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
In this thesis we define two most common types of convergence of probability measures and show relat...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
A large number of results are available about the weak convergence of probability measures in spaces...
AbstractIn this paper we introduce the notion of weak convergence for random sets in a separable Ban...
Abstract. Convergence in distribution is investigated in a finitely additive setting. Let Xn be maps...
The purpose of the paper is to study the topology of the weak convergence of masses (i.e. positive b...
We point out that the weak convergence and the convergence in distributions are not equivalent in a ...
The purpose of the paper is to continue and reinterpret de Finetti's work on adherent probabilities ...
We study the metrizability of the topology of weak convergence in the setting of finitely additive d...
Weak convergence of probability measures on function spaces has been active area of research in rece...
We introduce an abstract treatment of the weak convergence for bounded monotone set functions which ...
This book provides a thorough exposition of the main concepts and results related to various types o...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
In this thesis we define two most common types of convergence of probability measures and show relat...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
We first consider convergence in law of measurable processes with a general parameter set and a stat...
A large number of results are available about the weak convergence of probability measures in spaces...
AbstractIn this paper we introduce the notion of weak convergence for random sets in a separable Ban...
Abstract. Convergence in distribution is investigated in a finitely additive setting. Let Xn be maps...