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 first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2018
|
| Series: | London Mathematical Society lecture note series
445 |
| Subjects: | |
| Online Access: | BSB01 FHN01 UBA01 Volltext |
| 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 This book contains new results and previously unpublished material not available elsewhere.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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 12 Feb 2018) |
| Physical Description: | 1 Online-Ressource (x, 174 Seiten) |
| DOI: | 10.1017/9781108377423 |
Staff View
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| 520 | |a 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 This book contains new results and previously unpublished material not available elsewhere.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 | ||
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| discipline | Mathematik |
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| institution | BVB |
| language | English |
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| spelling | Hoek, John van der Verfasser (DE-588)171654900 aut Introduction to hidden semi-Markov models John van der Hoek (University of South Australia), Robert J. Elliott (University of Calgary) Cambridge Cambridge University Press 2018 1 Online-Ressource (x, 174 Seiten) txt rdacontent c rdamedia cr rdacarrier London Mathematical Society lecture note series 445 Title from publisher's bibliographic system (viewed on 12 Feb 2018) 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 Markov processes Hidden Markov models Stochastic processes Hidden-Markov-Modell (DE-588)4352479-5 gnd rswk-swf Hidden-Markov-Modell (DE-588)4352479-5 s 1\p DE-604 Elliott, Robert J. 1940- Sonstige (DE-588)129338745 oth Erscheint auch als Druck-Ausgabe, hardback 9781108421607 Erscheint auch als Druck-Ausgabe, paperback 9781108441988 https://doi.org/10.1017/9781108377423 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hoek, John van der Introduction to hidden semi-Markov models Markov processes Hidden Markov models Stochastic processes Hidden-Markov-Modell (DE-588)4352479-5 gnd |
| subject_GND | (DE-588)4352479-5 |
| title | Introduction to hidden semi-Markov models |
| title_auth | Introduction to hidden semi-Markov models |
| title_exact_search | Introduction to hidden semi-Markov models |
| title_full | Introduction to hidden semi-Markov models John van der Hoek (University of South Australia), Robert J. Elliott (University of Calgary) |
| title_fullStr | Introduction to hidden semi-Markov models John van der Hoek (University of South Australia), Robert J. Elliott (University of Calgary) |
| title_full_unstemmed | Introduction to hidden semi-Markov models John van der Hoek (University of South Australia), Robert J. Elliott (University of Calgary) |
| title_short | Introduction to hidden semi-Markov models |
| title_sort | introduction to hidden semi markov models |
| topic | Markov processes Hidden Markov models Stochastic processes Hidden-Markov-Modell (DE-588)4352479-5 gnd |
| topic_facet | Markov processes Hidden Markov models Stochastic processes Hidden-Markov-Modell |
| url | https://doi.org/10.1017/9781108377423 |
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