Hidden Markov Processes - Vidyasagar, M.
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"This book provides a terrific introduction to an important and widely studied field--Markov processes (including hidden Markov processes)--with a particular view toward applications to problems in biology. With a wonderful balance of rigor, intuition, and choice of topics, the book gives a unique treatment of the subject for those interested in both fundamental theory and important applications."--Sanjeev Kulkarni, Princeton University "Vidyasagar uses sound scholarship to address hidden Markov processes and their application to problems in computational biology, in particular to genomics and…mehr

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Produktbeschreibung
"This book provides a terrific introduction to an important and widely studied field--Markov processes (including hidden Markov processes)--with a particular view toward applications to problems in biology. With a wonderful balance of rigor, intuition, and choice of topics, the book gives a unique treatment of the subject for those interested in both fundamental theory and important applications."--Sanjeev Kulkarni, Princeton University "Vidyasagar uses sound scholarship to address hidden Markov processes and their application to problems in computational biology, in particular to genomics and proteomics. The well-organized book examines topics not often covered, such as realization theory and order determination for hidden Markov processes, and also looks at significant properties such as ergodicity and mixing. This work will be useful to systems researchers as well as computational biologists."--Steve Marcus, University of Maryland
Autorenporträt
M. Vidyasagar is the Cecil and Ida Green Chair in Systems Biology Science at the University of Texas, Dallas. His many books include Computational Cancer Biology: An Interaction Network Approach and Control System Synthesis: A Factorization Approach.