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Hidden Markov processes: theory and applications to biology
This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematic...
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Lenguaje: | eng |
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Princeton University Press
2014
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Acceso en línea: | http://cds.cern.ch/record/2150110 |
_version_ | 1780950448750985216 |
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author | Vidyasagar, M |
author_facet | Vidyasagar, M |
author_sort | Vidyasagar, M |
collection | CERN |
description | This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are t |
id | cern-2150110 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Princeton University Press |
record_format | invenio |
spelling | cern-21501102021-04-21T19:43:02Zhttp://cds.cern.ch/record/2150110engVidyasagar, MHidden Markov processes: theory and applications to biologyMathematical Physics and Mathematics This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are tPrinceton University Pressoai:cds.cern.ch:21501102014 |
spellingShingle | Mathematical Physics and Mathematics Vidyasagar, M Hidden Markov processes: theory and applications to biology |
title | Hidden Markov processes: theory and applications to biology |
title_full | Hidden Markov processes: theory and applications to biology |
title_fullStr | Hidden Markov processes: theory and applications to biology |
title_full_unstemmed | Hidden Markov processes: theory and applications to biology |
title_short | Hidden Markov processes: theory and applications to biology |
title_sort | hidden markov processes: theory and applications to biology |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2150110 |
work_keys_str_mv | AT vidyasagarm hiddenmarkovprocessestheoryandapplicationstobiology |