Applied Stochastic Processes and Control for Jump Diffusions
Modeling, Analysis, and Computation
Part of Advances in Design and Control
- Author: Floyd B. Hanson, University of Illinois, Chicago
- Date Published: November 2007
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
- format: Paperback
- isbn: 9780898716337
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This self-contained, practical, entry-level text integrates the basic principles of applied mathematics, applied probability, and computational science for a clear presentation of stochastic processes and control for jump diffusions in continuous time. The author covers the important problem of controlling these systems and, through the use of a jump calculus construction, discusses the strong role of discontinuous and nonsmooth properties versus random properties in stochastic systems. The book emphasises modelling and problem solving, and presents sample applications in financial engineering and biomedical modelling. Computational and analytic exercises and examples are included throughout. While classical applied mathematics is used in most of the chapters to set up systematic derivations and essential proofs, the final chapter bridges the gap between the applied and the abstract worlds to give readers an understanding of the more abstract literature on jump diffusions. Appendices are available on the book's supplementary Web page.
Read more- Provides equal emphasis on jump and diffusion processes
- Bridges the gap between the applied and the abstract worlds to enable a clearer understanding of the more abstract literature on jump diffusions
- Contains computational and analytic exercises and examples throughout
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×Product details
- Date Published: November 2007
- format: Paperback
- isbn: 9780898716337
- length: 474 pages
- dimensions: 254 x 179 x 26 mm
- weight: 0.81kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
Table of Contents
Preface
1. Stochastic jump and diffusion processes
2. Stochastic integration for diffusions
3. Stochastic integration for jumps
4. Stochastic calculus for jump-diffusions
5. Stochastic calculus for general Markov SDEs
6. Stochastic dynamic programming
7. Kolmogorov equations
8. Computational Stochastic control methods
9. Stochastic simulations
10. Applications in financial engineering
11. Applications in mathematical niology and medicine
12. Applied guide to abstract stochastic processes
Bibliography
Index
A. Appendix online: deterministic optimal control
B. Appendix online: preliminaries in probability and analysis
C. Appendix online: MATLAB programs.-
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