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In this book, which is basically self-contained, the following topics are treated thoroughly: Brownian motion as a Gaussian process, Brownian motion as a Markov process, and Brownian motion as a martingale. Brownian motion can also be considered as a functional limit of symmetric random walks, which is, to some extent, also discussed.
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Publish Date
2013
Publisher
Bookboon.com
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Book Details
Table of Contents
Content
1. Preface
2. Chapter 1. Stochastic processes: prerequisites
2.1. Conditional expectation
2.2. Lemma of Borel-Cantelli
2.3. Stochastic processes and projective systems of measures
2.4. A definition of Brownian motion
2.5. Martingales and related processes
3. Chapter 2. Renewal theory and Markov chains
3.1. Renewal theory
3.2. Some additional comments on Markov processes
3.3. More on Brownian motion
3.4. Gaussian vectors
3.5. Radon-Nikodym Theorem
3.6. Some martingales
4. Chapter 3. An introduction to stochastic processes: Brownian motion...
4.1. Gaussian processes
4.2. Brownian motion and related processes
4.3. Some results on Markov processes, on Feller semigroups and on the martingale problem
4.4. Martingales, submartingales, supermartingales and semimartingales
4.5. Regularity properties of stochastic processes
4.6. Stochastic integrals, Itˆo’s formula
4.7. Black-Scholes model
4.8. A version of Fernique’s theorem
4.9. Miscellaneous
5. Index
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- Created July 1, 2015
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August 22, 2020 | Edited by ISBNbot2 | normalize ISBN |
July 1, 2015 | Edited by Alice Kirk | Edited without comment. |
July 1, 2015 | Edited by Alice Kirk | Added new cover |
July 1, 2015 | Edited by Alice Kirk | Added new cover |
July 1, 2015 | Created by Alice Kirk | Added new book. |