Essentials of Stochastic Processes
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It cov...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edition: | 3rd ed. 2016. |
| Series: | Springer Texts in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 1) Markov Chains
- 2) Poisson Processes
- 3) Renewal Processes
- 4) Continuous Time Markov Chains
- 5) Martingales
- 6) Mathematical Finance
- 7) A Review of Probability.