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: Stochastic Analysis - NotesStochastic Analysis - Notes
by
A gentle introduction to the mathematics of Stochastic Analysis. From the table of contents: Introduction; Conditional expectation; Martingales; Stochastic integration - informally; Wiener process; Ito's formula; Bibliography.
(16887 views)
Book cover: Synchronization and Linearity: An Algebra for Discrete Event SystemsSynchronization and Linearity: An Algebra for Discrete Event Systems
by - John Wiley & Sons
Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.
(16786 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(14219 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.
(9633 views)