Introduction to Stochastic Integration

Chung, Kai L.

ISBN 10: 0817633863 / ISBN 13: 9780817633868

Edité par Springer/Sci-Tech/Trade, 2013

A propos de cet article

Hardcover. Second edition. Minor wear only. Clean with no highlighting or writing detected on any pages. 30-day returns. Free shipping within Canada. International shipments may be subject to custom duties or other charges on receipt. ; 155 X 17 X 235 millimeters; 278 pages.

N° de réf. du vendeur 7454

Détails bibliographiques

• Titre: Introduction to Stochastic Integration
• Éditeur: Springer/Sci-Tech/Trade
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 0817633863
• ISBN à 13 chiffres: 9780817633868
• Reliure: Hardcover
• Édition: 2ème Édition
• État de l'article: Very Good

A propos de ce titre

Synopsis

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability. Using the modern approach, the stochastic integral is defined for predictable integrands and local martingales; then Ito's change of variable formula is developed for continuous martingales. Applications include a characterization of Brownian motion, Hermite polynomials of martingales, the Feynman-Kac functional and Schrodinger equation. For Brownian motion, the topics of local time, reflected Brownian motion, and time change are discussed. New to the second edition are a discussion of the Cameron-Martin-Girsanov transformation and a final chapter which provides an introduction to stochastic differential equations, as well as many exercises for classroom use. This book will be a valuable resource to all mathematicians, statisticians, economists, and engineers employing the modern tools of stochastic analysis. The text also proves that stochastic integration has made an important impact on mathematical progress over the last decades and that stochastic calculus has become one of the most powerful tools in modern probability theory. -Journal of the American Statistical Association [horizontal dagger separator] An attractive text...written in [a] lean and precise style...eminently readable. Especially pleasant are the care and attention devoted to details...A very fine book. -Mathematical Reviews