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Mathematics - Probability Theory and Stochastic Processes | Understanding Markov Chains - Examples and Applications (Authors and Editors)

Understanding Markov Chains

Examples and Applications

Privault, Nicolas

2013, IX, 354 p. 71 illus.

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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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  • Stochastic Analysis with Financial Applications
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    Stochastic Analysis with Financial Applications

    Hong Kong 2009

    Series: Progress in Probability, Vol. 65

    Kohatsu-Higa, Arturo, Privault, Nicolas, Sheu, Shuenn-Jyi (Eds.) 2011

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    ISBN 978-3-0348-0097-6
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  • Understanding Markov Chains
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    Understanding Markov Chains

    Examples and Applications

    Series: Springer Undergraduate Mathematics Series

    Privault, Nicolas 2013

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    ISBN 978-981-4451-51-2
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  • Stochastic Analysis in Discrete and Continuous Settings
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    Stochastic Analysis in Discrete and Continuous Settings

    With Normal Martingales

    Series: Lecture Notes in Mathematics, Vol. 1982

    Privault, Nicolas 2009

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    ISBN 978-3-642-02380-4
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