Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on which a Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. The goal of the book is to provide the reader with a concise introduction to stochastic analysis, and, in particular, to the Malliavin calculus. The book contains a detailed description of all technical tools necessary to describe the theory, such as the Wiener process, the Ornstein-Uhlenbeck process, and Sobolev spaces. It also presents applications of stochastic calculus to the study of stochastic differential equations
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
Since theWiener space was established by N. Wiener as a mathematical model of Brownian motion in 192...
AbstractIn the first part, of this paper it is pointed out that for certain applications of the stoc...
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during...
The Silvri Workshop was divided into a short summer school and a working conference, producing lectu...
This volume presents an introductory course on differential stochastic equations and Malliavin calcu...
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the ...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
The Malliavin calculus (also known as the stochastic calculus of variations) is an infinite–dimensio...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelo...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
International audienceThis volume contains lecture notes from the courses given by Vlad Bally and Ra...
The Malliavin calculus is an infinite dimensional calculus on a Gaussian space, which is mainly appl...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
Since theWiener space was established by N. Wiener as a mathematical model of Brownian motion in 192...
AbstractIn the first part, of this paper it is pointed out that for certain applications of the stoc...
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during...
The Silvri Workshop was divided into a short summer school and a working conference, producing lectu...
This volume presents an introductory course on differential stochastic equations and Malliavin calcu...
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the ...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
The Malliavin calculus (also known as the stochastic calculus of variations) is an infinite–dimensio...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelo...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
International audienceThis volume contains lecture notes from the courses given by Vlad Bally and Ra...
The Malliavin calculus is an infinite dimensional calculus on a Gaussian space, which is mainly appl...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
Since theWiener space was established by N. Wiener as a mathematical model of Brownian motion in 192...
AbstractIn the first part, of this paper it is pointed out that for certain applications of the stoc...