Éditeur : IMPERIAL COLLEGE PRESS
ISBN papier: 978-1-86094-555-7
Parution : 2005
Code produit : 1135794
Catégorisation :
Livres /
Science /
Mathématique /
Aide et mise à niveau
Format | Qté. disp. | Prix* | Commander |
---|---|---|---|
Livre papier | En rupture de stock** |
Prix membre : 87,88 $ Prix non-membre : 92,50 $ |
*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.
Introduction To Stochastic Calculus With Applications (Second Edition) by Fima C Klebaner (Monash University, Australia). This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering. Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling. This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.