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Hidden Markov Processes
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Hidden Markov Processes: Theory and Applications to Biology

M. Vidyasagar

Abstract

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. It 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 taken fr ... More

Keywords: computational biology, post-genomic biology, genomics, proteomics, Perron–Frobenius theorem, probability, likelihood estimation, Viterbi algorithm, Baum–Welch algorithm, hidden Markov processes

Bibliographic Information

Print publication date: 2014 Print ISBN-13: 9780691133157
Published to Princeton Scholarship Online: October 2017 DOI:10.23943/princeton/9780691133157.001.0001

Authors

Affiliations are at time of print publication.

M. Vidyasagar, author
University of Texas