Introduction to hidden semi-Markov models
Elliott, Robert J., Van der Hoek, John
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 This book contains new results and previously unpublished material not available elsewhere.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
Abstract: 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 and semi-Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates.
Abstract: 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 and semi-Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates.
श्रेणियाँ:
साल:
2018
प्रकाशन:
Cambridge University Press
भाषा:
english
पृष्ठ:
174
ISBN 10:
110844198X
ISBN 13:
9781108441988
श्रृंखला:
London Mathematical Society lecture note series 445
फ़ाइल:
PDF, 827 KB
IPFS:
,
english, 2018
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