Introduction to stochastic analysis : integrals and differential equations /
This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology, chemistry, physics, and finances. The presentation is based on the naïve stochastic integration, rat...
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| Format: | eBook |
| Language: | English |
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London : Hoboken, NJ :
ISTE Ltd ; John Wiley,
2011.
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| Series: | Applied stochastic methods series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology, chemistry, physics, and finances. The presentation is based on the naïve stochastic integration, rather than on abstract theories of measure and stochastic processes. The proofs are rather simple for practitioners and, at the same time, rather rigorous for mathematicians. Detailed application examples in natural sciences and finance are presented. Much attention is paid to simulation diffusion processes. The topics covered include Brownian motion; motivation of stochastic models with Brownian motion; Itô and Stratonovich stochastic integrals, Itô's formula; stochastic differential equations (SDEs); solutions of SDEs as Markov processes; application examples in physical sciences and finance; simulation of solutions of SDEs (strong and weak approximations). Exercises with hints and/or solutions are also provided. |
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| Physical Description: | 1 online resource (276 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118603314 1118603311 9781118603246 1118603249 |