Introduction to hidden semi-Markov models /
Saved in:
| Author / Creator: | Van der Hoek, John, author. |
|---|---|
| Imprint: | Cambridge, United Kingdom ; New York : Cambridge University Press, 2018. |
| Description: | x, 174 pages ; 23 cm. |
| Language: | English |
| Series: | London Mathematical Society lecture note series ; 445 London Mathematical Society lecture note series ; 445. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11604727 |
| Summary: | 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 This book contains new results and previously unpublished material not available elsewhere.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. |
|---|---|
| Physical Description: | x, 174 pages ; 23 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781108441988 110844198X |