9789386279729 - introduction to stochastic calculus (4 resultados)

- Tapa dura
Librería: Books in my Basket, New Delhi, IndiaBooks in my Basket
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 17,86
Envío por EUR 18,00Se envía de India a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: New. ISBN:9789386279729.

Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 20,58
Envío por EUR 7,58Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 25,55
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

- Tapa dura
- Primera edición
Librería: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 36,84
Envío por EUR 17,50Se envía de India a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: New. 1st Edition. Contents: 1. Discrete Parameter Martingales. 2. Continuous-Time Processes. 3. The Ito's Integral. 4. Stochastic Integration. 5. Semimartingales. 6. Pathwise Formula for the Stochastic Integral. 7. Continuous Semimartingales. 8. Predictable Increasing Processes. 9. The Davis Inequality. 10.… Integral Representation of Martingales. 11. Dominating Process of a Semimartingale. 12. SDE Driven by r.c.l.l. Semimartingales. 13. Girsanov Theorem. Bibliography. Index. This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance. The first book to introduce pathwise formulae for the stochastic integral, it provides a simple but rigorous treatment of the subject, including a range of advanced topics. The book discusses in-depth topics such as quadratic variation, Ito formula, and Emery topology. The authors briefly address continuous semi-martingales to obtain growth estimates and study solution of a stochastic differential equation (SDE) by using the technique of random time change. Later, by using MetivierPellaumail inequality, the solutions to SDEs driven by general semi-martingales are discussed. The connection of the theory with mathematical finance is briefly discussed and the book has extensive treatment on the representation of martingales as stochastic integrals and a second fundamental theorem of asset pricing. Intended for undergraduate and beginning graduate level students in the engineering and mathematics disciplines, the book is also an excellent reference resource for applied mathematicians and statisticians looking for a review of the topic.