Introduction To Stochastic Calculus With Applications by Fima C. Klebaner - ISBN: 9781860941290
Hardcover
This book provides an introduction to stochastic calculus with some of its applications in mathematical finance, engineering, and the sciences. Applications in finance include pricing of financial derivatives. The filtering problem and its solution is presented as an application in engineering.

Introduction To Stochastic Calculus With Applications

$115.35

  • Hardcover

    336 pages

  • Release Date

    25 September 1998

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Summary

This is a concise introduction to stochastic calculus with some of its applications in mathematical finance, engineering and the sciences. Applications in finance include pricing of financial derivatives, such as options on stocks, exotic options and interest rate options. The filtering problem and its solution is presented as an application in engineering. Population models and randomly perturbed equations of physics are given as examples of applications in biology and physics. Only a bas…

Book Details

ISBN-13:9781860941290
ISBN-10:186094129X
Author:Fima C. Klebaner
Publisher:Imperial College Press
Imprint:Imperial College Press
Format:Hardcover
Number of Pages:336
Edition:3rd
Release Date:25 September 1998
Weight:585g
Dimensions:22mm x 160mm x 230mm
A-Format
B-Format
Introduction To Stochastic Calculus With Applications by Fima C. Klebaner - ISBN: 9781860941290
160 × 230 mm
C-Format
A4
mm / in
What They're Saying

Critics Review

“It provides a good introduction to stochastic analysis, leaving out several of the more technical proofs. The variety of examples and exercises suggests to use the book for self-studies” Zentralblatt MATH “This book is an excellent introduction to a subject which often presents difficulties to the student of probability … The numerous exercises are both challenging and illuminating. I greatly enjoyed the book, and can recommend it unreservedly to all probabilists and statisticians wishing to acquire a working knowledge of the stochastic calculus. For libraries, it is an absolute ‘must’.” Australian & New Zealand Journal of Statistics, 1999 “… the author does a good job at achieving a difficult objective … the text is best suited for the mathematically inclined graduate student in engineering … It fills a niche in the literature, as it is hard to find books on stochastic analysis which present such a wide spectrum of results with relatively modest prerequisites.” Mathematical Reviews, 2002

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