Name: Stochastic Calculus Via Regularizations (en Inglés)
Price: 854504.00 COP
Availability: InStock
Author: Russo, Francesco ; Vallois, Pierre
ISBN: 9783031094484

portada Stochastic Calculus Via Regularizations (en Inglés)

Formato

Libro Físico

Autor

Francesco Russo

Pierre Vallois

Editorial

Springer

Idioma

Inglés

N° páginas

638

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 3.4 cm

Peso

0.93 kg.

ISBN13

9783031094484

Categorías

Cálculo y análisis matemático
Probabilidad y estadística

Stochastic Calculus Via Regularizations (en Inglés)

Francesco Russo (Autor) · Pierre Vallois (Autor) · Springer · Tapa Blanda

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Reseña del libro "Stochastic Calculus Via Regularizations (en Inglés)"

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 irregularintegrators. 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.