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An introduction to hidden Markov models.
Published 2007“…This unit introduces the concept of hidden Markov models in computational biology. It describes them using simple biological examples, requiring as little mathematical knowledge as possible. …”
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Hidden Markov models: an insight
Published 2014“…Hidden Markov models (HMM) is a probabilistic model consisting of variables representing observations, variables that are hidden, the initial state distribution, transition matrix, and parameters for all observation distributions. …”
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Hidden Markov models for stochastic thermodynamics
Published 2015-01-01Subjects: Get full text
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Equivalence and Reduction of Hidden Markov Models
Published 2004“…This report studies when and why two Hidden Markov Models (HMMs) may represent the same stochastic process. …”
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Complexity of comparing hidden markov models
Published 2001“…The basic theory of hidden Markov models was developed and applied to problems in speech recognition in the late 1960's, and has since then been applied to numerous problems, e.g. biological sequence analysis. …”
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Infinite hierarchical hidden Markov models
Published 2009“…In this paper we present the Infinite Hierarchical Hidden Markov Model (IHHMM), a nonparametric generalization of Hierarchical Hidden Markov Models (HHMMs). …”
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The infinite factorial hidden Markov model
Published 2009“…We use this stochastic process to build a nonparametric extension of the factorial hidden Markov model. After constructing an inference scheme which combines slice sampling and dynamic programming we demonstrate how the infinite factorial hidden Markov model can be used for blind source separation.…”
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