9780521142144 - stochastic integration with jumps (encyclopedia of mathematics & its applications, 89, band 89) von bichteler, klaus (3 Ergebnisse)
Sprache: Englisch
Verlag: Cambridge University Press 2010
Serie: Encyclopedia of Mathematics and its Applications, Buch 78 von 188. Buch 78 von 188 - Encyclopedia of Mathematics and its Applications
- Softcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press 2010
Serie: Encyclopedia of Mathematics and its Applications, Buch 78 von 188. Buch 78 von 188 - Encyclopedia of Mathematics and its Applications
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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Zustand: New. The complete theory of stochastic differential equations driven by jumps, their stability, and numerical approximation theories. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 516 pages, 17 b/w illus. 1 table 745 exercises. BIC Classification: PBKJ; PBT; PBWL. Category: (P) Professional & Voca…tional. Dimension: 234 x 156 x 23. Weight in Grams: 734. . 2010. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press 2010
Serie: Encyclopedia of Mathematics and its Applications, Buch 78 von 188. Buch 78 von 188 - Encyclopedia of Mathematics and its Applications
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic processes with jumps and random measures are importance as drivers in applications like financial mathematics and signal processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random me…asures from a common point of view. Using some novel predictable controlling devices, the author furnishes the theory of stochastic differential equations driven by them, as well as their stability and numerical approximation theories. Highlights feature DCT and Egoroff's Theorem, as well as comprehensive analogs results from ordinary integration theory, for instance previsible envelopes and an algorithm computing stochastic integrals of càglàd integrands pathwise. Full proofs are given for all results, and motivation is stressed throughout. A large appendix contains most of the analysis that readers will need as a prerequisite. This will be an invaluable reference for graduate students and researchers in mathematics, physics, electrical engineering and finance who need to use stochastic differential equations.
