Understanding Markov chains : examples and applications /
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Author / Creator: | Privault, Nicolas, author. |
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Edition: | Second edition. |
Imprint: | Singapore : Springer, 2018. |
Description: | 1 online resource (xvii, 372 pages) : illustrations |
Language: | English |
Series: | Springer undergraduate mathematics series, 1615-2085 Springer undergraduate mathematics series, |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11690117 |
Table of Contents:
- Probability Background
- Gambling Problems
- Random Walks
- Discrete-Time Markov Chains
- First Step Analysis
- Classification of States
- Long-Run Behavior of Markov Chains
- Branching Processes
- Continuous-Time Markov Chains
- Discrete-Time Martingales
- Spatial Poisson Processes
- Reliability Theory.