Description

This graduate level text covers the theory of stochastic integration, an important area of mathematics that has a wide range of applications, including financial mathematics and signal processing. Aimed at graduate students in mathematics, statistics, probability, mathematical finance, and economics, the book not only covers the theory of the stochastic integral in great depth but also presents the associated theory (martingales, Levy processes) and important examples (Brownian motion, Poisson process).

Features

• Applications to many fields of mathematical modelling
• Clear, logical exposition
• Numerous examples, detailed proofs, and cross-referencing aid understanding
• Companion website provides further examples and problems

Reviews

"This monograph gives a comprehensive exposition of stochastic calculus and can be used as a textbook for graduate students with a good knowledge of measure-theoretic probability and mathematical analysis...Although the material presented in this book can be found in other monographs on the subject, it can of interest for a wide readership, mainly due to the plenty of clarifying examples and the very detailed proofs of the results."--Mathematical Reviews

Product Details

544 pages; ISBN13: 978-0-19-921525-6ISBN10: 0-19-921525-1

About the Author(s)