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Introduction to Hidden Semi-Markov Models
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    Obzherin, Yuriy E. Voropai, N. Senderov, S. Michalevich, A. and Guliev, H. 2018. Semi-Markov and hidden semi-Markov models of energy systems. E3S Web of Conferences, Vol. 58, Issue. , p. 02023.

    Bobrowski, A. 2018. Lord Kelvin and Andrey Andreyevich Markov in a Queue with Single Server. Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software", Vol. 11, Issue. 3, p. 29.

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    Introduction to Hidden Semi-Markov Models
    • Online ISBN: 9781108377423
    • Book DOI: https://doi.org/10.1017/9781108377423
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Book description

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and filtering results. Genomics applications are modelled by discrete observations of these hidden semi-Markov chains. This book contains new results and previously unpublished material not available elsewhere. The approach is rigorous and focused on applications.

Reviews

'… this book is of interest to researchers attracted by hidden Markov and semi-Markov models. It covers probabilistic and statistical treatments of the considered topics, and introduces the reader … to possible applications, mainly in genomics. Hence, Ph.D. students and specialists in the area of hidden Markov processes are invited to consider this book as a reference in their activities.'

Antonio Di Crescenzo Source: MathSciNet

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Contents

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