Logo

Lectures on Stochastic Differential Equations and Malliavin Calculus

Small book cover: Lectures on Stochastic Differential Equations and Malliavin Calculus

Lectures on Stochastic Differential Equations and Malliavin Calculus
by

Publisher: Tata Institute of Fundamental Research
ISBN/ASIN: 3540128972
ISBN-13: 9783540128977
Number of pages: 113

Description:
The author's main purpose in these lectures was to study solutions of stochastic differential equations as Wiener functionals and apply to them some infinite dimensional functional analysis. This idea was due to P. Malliavin.

Download or read it online for free here:
Download link
(470KB, PDF)

Similar books

Book cover: Advanced Stochastic ProcessesAdvanced Stochastic Processes
by - Bookboon
In this book, which is basically self-contained, the following topics are treated thoroughly: Brownian motion as a Gaussian process, Brownian motion as a Markov process, Brownian motion as a martingale, Markov chains, renewal theory, etc.
(7671 views)
Book cover: Lectures on Topics in Stochastic Differential EquationsLectures on Topics in Stochastic Differential Equations
by - Tata Institute of Fundamental Research
The author's purpose in these lectures was to provide some insight into the properties of solutions to stochastic differential equations. In order to read these notes, one need only know the basic Ito theory of stochastic integrals.
(9669 views)
Book cover: Introduction to Stochastic ProcessesIntroduction to Stochastic Processes
by - The University of Texas at Austin
Contents: Probability review; Mathematica in 15 minutes; Stochastic Processes; Simple random walk; Generating functions; Random walks - advanced methods; Branching processes; Markov Chains; The 'Stochastics' package; Classification of States; etc.
(7637 views)
Book cover: Lectures on Stochastic Flows and ApplicationsLectures on Stochastic Flows and Applications
by - Tata Institute Of Fundamental Research
The author presents basic properties of stochastic flows, specially of Brownian flows and their relations with local characteristics and with stochastic differential equations. Various limit theorems for stochastic flows are presented.
(8686 views)