AbstractThe present paper is devoted to properties of set-valued stochastic integrals defined as some special type of set-valued random variables. In particular, it is shown that if the probability base is separable or probability measure is nonatomic then defined set-valued stochastic integrals can be represented by a sequence of Itôʼs integrals of nonanticipative selectors of integrated set-valued processes. Immediately from Michaelʼs continuous selection theorem it follows that the indefinite set-valued stochastic integrals possess some continuous selections. The problem of integrably boundedness of set-valued stochastic integrals is considered. Some remarks dealing with stochastic differential inclusions are also given
AbstractIto's definition of the stochastic integral with respect to a Wiener process in the dual of ...
AbstractWe present a theory of non-commutative stochastic integration analogous to the Itô-theory. I...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
AbstractThe present paper is devoted to properties of set-valued stochastic integrals defined as som...
AbstractIn a separable Banach space, for set-valued martingale, several equivalent conditions based ...
The paper is devoted to properties of generalized set-valued stochastic integrals defined in [10]. T...
AbstractIn this paper, we shall firstly illustrate why we should consider integral of a stochastic p...
In this paper, we shall firstly illustrate why we should introduce set-valued stochastic integrals, ...
The paper contains new properties of set-valued stochastic integrals defined as multifunctions with ...
This book is among the first concise presentations of the set-valued stochastic integration theory a...
In this paper we study the path-regularity and martingale properties of the set-valued stochastic in...
n this paper, we shall firstly illustrate why we should discuss the Aumann type set-valued Lebesgue ...
AbstractWe define the stochastic integrals of a set-valued process and a fuzzy process with respect ...
In this paper, we shall introduce the stochastic integral of a stochastic process with respect to se...
AbstractWe give a sufficient condition for existence of the nonadapted extension of the stochastic i...
AbstractIto's definition of the stochastic integral with respect to a Wiener process in the dual of ...
AbstractWe present a theory of non-commutative stochastic integration analogous to the Itô-theory. I...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
AbstractThe present paper is devoted to properties of set-valued stochastic integrals defined as som...
AbstractIn a separable Banach space, for set-valued martingale, several equivalent conditions based ...
The paper is devoted to properties of generalized set-valued stochastic integrals defined in [10]. T...
AbstractIn this paper, we shall firstly illustrate why we should consider integral of a stochastic p...
In this paper, we shall firstly illustrate why we should introduce set-valued stochastic integrals, ...
The paper contains new properties of set-valued stochastic integrals defined as multifunctions with ...
This book is among the first concise presentations of the set-valued stochastic integration theory a...
In this paper we study the path-regularity and martingale properties of the set-valued stochastic in...
n this paper, we shall firstly illustrate why we should discuss the Aumann type set-valued Lebesgue ...
AbstractWe define the stochastic integrals of a set-valued process and a fuzzy process with respect ...
In this paper, we shall introduce the stochastic integral of a stochastic process with respect to se...
AbstractWe give a sufficient condition for existence of the nonadapted extension of the stochastic i...
AbstractIto's definition of the stochastic integral with respect to a Wiener process in the dual of ...
AbstractWe present a theory of non-commutative stochastic integration analogous to the Itô-theory. I...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...