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Markov Chains

Markov Chains


Part of Cambridge Series in Statistical and Probabilistic Mathematics

  • Date Published: October 1998
  • availability: Available
  • format: Paperback
  • isbn: 9780521633963


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About the Authors
  • Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and exercises and examples drawn both from theory and practice. It will therefore be an ideal text either for elementary courses on random processes or those that are more oriented towards applications.

    • Self-contained and systematic introduction to Markov chains
    • Large selection of student-tested exercises and examples
    • Special chapter on applications and links with other topics
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    Reviews & endorsements

    'This is an admirable book, treating the topic with mathematical rigour and clarity, mixed with helpful informality; and emphasising numerous applications to a wide range of subjects.' D. V. Lindley, The Mathematical Gazette

    'My overall impression of this book is very positive … this is the best introduction to the subject that I have come across.' Contemporary Physics

    'An instructor looking for a suitable text, at the level of a Master of Mathematics degree, can use this book with confidence and enthusiasm.' John Haigh, University of Sussex

    'We recently based a seminar on this book … it is well suited for an elementary, technically modest, but still rigorous introduction into the heart of a lively and relevant area of stochastic processes.' M. Scheutzow, Zentralblatt MATH

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    Product details

    • Date Published: October 1998
    • format: Paperback
    • isbn: 9780521633963
    • length: 254 pages
    • dimensions: 254 x 178 x 18 mm
    • weight: 0.41kg
    • contains: 20 b/w illus.
    • availability: Available
  • Table of Contents

    1. Discrete-time Markov chains
    2. Continuous-time Markov chains I
    3. Continuous-time Markov chains II
    4. Further theory
    5. Applications
    Probability and measure

  • Instructors have used or reviewed this title for the following courses

    • Democracy and Democracy Assistance
    • Graduate Seminar in Mathematics
    • Introduction to Markov Chains
  • Author

    J. R. Norris, University of Cambridge

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