For stochastic functions over the product of a general space and a time interval, the standard type non-anticipating integration scheme is applied with respect to the stochastic measures with independent values. In this framework we suggest a non-anticipating stochastic derivative as a stochastic analogue of the Radon-Nykodim derivative. This stochastic derivative is then connected to the problem of the integral representation of random variables in a standard L2-space. Several specifications of the differentiation formula are derived in the case of Lévy stochastic measures. Key words: measurable and predictable modification, stochastic integral, stochastic non-anticipating derivative, Lévy stochastic measure, Malliavin derivative, Clark-...
This book presents an elementary introduction to the theory of noncausal stochastic calculus that ar...
Non-Gaussian stochastic fields are introduced by means of integrals with respect to independently sc...
Considering Poisson random measures as the driving sources for stochastic (partial) differential equ...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
In an L2-framework, we study various aspects of stochastic calculus with respect to the centered dou...
Preprint enviat per a la seva publicació en una revista científica: Stochastics and Stochastic Repor...
In a systematic study form, the present paper concern topics of stochastic calculus with respect to ...
We give a sufficient condition for existence of the nonadapted extension of the stochastic integral ...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
We define a Skorohod type anticipative stochastic integral that extends the Ito integral not only wi...
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certa...
International audienceA stochastic calculus similar to Malliavin's calculus is worked out for Browni...
We introduce and study a class of operators of stochastic differentiation and integration for non-Ga...
We dene a class of anticipating ows on Poisson space and compute its Radon-Nikodym derivative. This ...
We consider an orthogonal system of stochastic polynomials with respect to a Lévy stoachastic measur...
This book presents an elementary introduction to the theory of noncausal stochastic calculus that ar...
Non-Gaussian stochastic fields are introduced by means of integrals with respect to independently sc...
Considering Poisson random measures as the driving sources for stochastic (partial) differential equ...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
In an L2-framework, we study various aspects of stochastic calculus with respect to the centered dou...
Preprint enviat per a la seva publicació en una revista científica: Stochastics and Stochastic Repor...
In a systematic study form, the present paper concern topics of stochastic calculus with respect to ...
We give a sufficient condition for existence of the nonadapted extension of the stochastic integral ...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
We define a Skorohod type anticipative stochastic integral that extends the Ito integral not only wi...
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certa...
International audienceA stochastic calculus similar to Malliavin's calculus is worked out for Browni...
We introduce and study a class of operators of stochastic differentiation and integration for non-Ga...
We dene a class of anticipating ows on Poisson space and compute its Radon-Nikodym derivative. This ...
We consider an orthogonal system of stochastic polynomials with respect to a Lévy stoachastic measur...
This book presents an elementary introduction to the theory of noncausal stochastic calculus that ar...
Non-Gaussian stochastic fields are introduced by means of integrals with respect to independently sc...
Considering Poisson random measures as the driving sources for stochastic (partial) differential equ...