The framework of the stochastic calculus of variations on the standard Wiener and Poisson space is extended to certain martingales, consistently with other ap-proaches. The method relies on changes of times for the gradient operators. We study the transfer of the structures of stochastic analysis induced by these time-changed operators, in particular the chaotic decompositions
AbstractFrom the predictable reduction of a marked point process to Poisson, we derive a similar red...
Stochastic geometry is the branch of mathematics that studies geometric structures associated with r...
We study in this paper anticipative transformations on the Poisson space in the framework introduced...
AbstractThe aim of this work is to construct the stochastic calculus of variations on Poisson space ...
The aim of this work is to construct the stochastic calculus of variations on Poisson space and some...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
The Malliavin calculus (also known as the stochastic calculus of variations) is an infinite–dimensio...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
We consider a Bayesian-martingale approach to the general change-point detection problem. In our set...
From the predictable reduction of a marked point process to Poisson, we derive a similar reduction t...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
AbstractA theory of stochastic calculus of variations is presented which generalizes the ordinary ca...
AbstractWe study in this paper anticipative transformations on the Poisson space in the framework in...
AbstractFrom the predictable reduction of a marked point process to Poisson, we derive a similar red...
Stochastic geometry is the branch of mathematics that studies geometric structures associated with r...
We study in this paper anticipative transformations on the Poisson space in the framework introduced...
AbstractThe aim of this work is to construct the stochastic calculus of variations on Poisson space ...
The aim of this work is to construct the stochastic calculus of variations on Poisson space and some...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
The Malliavin calculus (also known as the stochastic calculus of variations) is an infinite–dimensio...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
We consider a Bayesian-martingale approach to the general change-point detection problem. In our set...
From the predictable reduction of a marked point process to Poisson, we derive a similar reduction t...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
AbstractA theory of stochastic calculus of variations is presented which generalizes the ordinary ca...
AbstractWe study in this paper anticipative transformations on the Poisson space in the framework in...
AbstractFrom the predictable reduction of a marked point process to Poisson, we derive a similar red...
Stochastic geometry is the branch of mathematics that studies geometric structures associated with r...
We study in this paper anticipative transformations on the Poisson space in the framework introduced...