Stochastic Calculus via Regularizations

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus. On the other hand it focuses on the techniques of stochastic integration and calculus via regularization initiated by the authors. The definitions relies on a...

Descripción completa

Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Russo, Francesco, autor (autor), Vallois, Pierre, autor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2022.
Edición:1st ed
Colección:Springer eBooks.
Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics, 11.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47245050*spi
Descripción
Sumario:The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus. On the other hand it focuses on the techniques of stochastic integration and calculus via regularization initiated by the authors. The definitions relies on a smoothing procedure of the integrator process, they generalize the usual Itô and Stratonovich integrals for Brownian motion but the integrator could also not be a semimartingale and the integrand is allowed to be anticipating. The resulting calculus requires a simple formalism: nevertheless it entails pathwise techniques even though it takes into account randomness. It allows connecting different types of pathwise and non pathwise integrals such as Young, fractional, Skorohod integrals, enlargement of filtration and rough paths. The covariation, but also high order variations, play a fundamental role in the calculus via regularization, which can also be applied for irregular integrators. A large class of Gaussian processes, various generalizations of semimartingales such that Dirichlet and weak Dirichlet processes are revisited. Stochastic calculus via regularization has been successfully used in applications, for instance in robust finance and on modeling vortex filaments in turbulence. The book is addressed to PhD students and researchers in stochastic analysis and applications to various fields.
Descripción Física:XXXI, 638 p.
Formato:Forma de acceso: World Wide Web.
ISBN:9783031094460