Understanding Markov Chains: Examples and Applications

Author:   Nicolas Privault
Publisher:   Springer Verlag, Singapore
Edition:   Third Edition 2026
ISBN:  

9789819540563


Pages:   366
Publication Date:   19 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Understanding Markov Chains: Examples and Applications


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Author:   Nicolas Privault
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Third Edition 2026
ISBN:  

9789819540563


ISBN 10:   9819540569
Pages:   366
Publication Date:   19 May 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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.

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Author Information

The author is a 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 books, Stochastic Analysis in Discrete and Continuous Settings: With Normal Martingales, Lecture Notes in Mathematics, Springer, 2009, and Discrete Stochastic Processes - Tools for Machine Learning and Data Science, Springer Undergraduate Mathematics Series 2024, and was a co-editor for the book, Stochastic Analysis with Financial Applications, Progress in Probability, Vol. 65, Springer Basel, 2011. Aside from these four Springer titles, he has authored several others. The manuscript has been developed over the years from his courses on Stochastic Processes at NTU.

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