Introduction to hidden semi-Markov models

Introduction to hidden semi-Markov models

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LF/113939/R
English
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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 relatedestimation 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 This book contains new results and previously unpublished material not available elsewhere.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 applicationsAbstract: Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject, developing the theory of Markov andsemi-Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates.
LF/113939/R

Data sheet

Name of the Author
Elliott
John
Robert J.
Van der Hoek
Language
English
Series
London Mathematical Society lecture note series 445
ISBN
9781108441988
Release date
2018

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Introduction to hidden semi-Markov models

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...

Write your review

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