Understanding Markov Chains
Examples and Applications
$115.45
- Paperback
372 pages
- Release Date
15 August 2018
Summary
This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a particular focus on the first step analysis technique and its applications to average hitting times and ruin probabilities. It also discusses classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes. It first examines in detail two important examples (gambling processes and random walks) before p…
Book Details
| ISBN-13: | 9789811306587 |
|---|---|
| ISBN-10: | 9811306583 |
| Author: | Nicolas Privault |
| Publisher: | Springer Verlag, Singapore |
| Imprint: | Springer Verlag, Singapore |
| Format: | Paperback |
| Number of Pages: | 372 |
| Edition: | 2nd |
| Release Date: | 15 August 2018 |
| Weight: | 599g |
| Dimensions: | 235mm x 155mm |
| Series: | Springer Undergraduate Mathematics Series |
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About The Author
Nicolas Privault
The author is an associate professor from the Nanyang Technological University (NTU) and is well-established in the field of stochastic processes and a highly respected probabilist. He has authored the book, Stochastic Analysis in Discrete and Continuous Settings: With Normal Martingales, Lecture Notes in Mathematics, Springer, 2009 and was a co-editor for the book, Stochastic Analysis with Financial Applications, Progress in Probability, Vol. 65, Springer Basel, 2011. Aside from these two Springer titles, he has authored several others. He is currently teaching the course M27004-Probability Theory and Stochastic Processes at NTU. The manuscript has been developed over the years from his courses on Stochastic Processes.
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