Conference item

Maximum a Posteriori Estimation of Coupled Hidden Markov Models.

Abstract:: Coupled Hidden Markov Models (CHMM) are a tool which model interactions between variables in state space rather than observation space. Thus they may reveal coupling in cases where classical tools such as correlation fail. In this paper we derive the maximum a posteriori equations for the Expectation Maximisation algorithm. The use of the models is demonstrated on simulated data, as well as in a variety of biomedical signal analysis problems.

Publication status:: Published

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APA Style

Rezek, I., Gibbs, M., & Roberts, S. (2002). Maximum a Posteriori Estimation of Coupled Hidden Markov Models. 32(1-2), 55–66.

MLA Style

Rezek, I., et al. “Maximum a Posteriori Estimation of Coupled Hidden Markov Models.” vol. 32, nos. 1-2, 2002, pp. 55–66.

Chicago Style

Rezek, I., M. Gibbs, and S. Roberts. 2002. “Maximum a Posteriori Estimation of Coupled Hidden Markov Models.” 32 (1-2): 55–66.
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Publisher copy:: 10.1023/A:1016363317870

Authors

+ Rezek, I More by this author

Role:: Author

+ Gibbs, M More by this author

Role:: Author

+ Roberts, S More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Author

Host title:: VLSI Signal Processing
Volume:: 32
Issue:: 1-2
Pages:: 55-66
Publication date:: 2002-01-01
DOI:: 10.1023/A:1016363317870
ISSN:: 0922-5773

Keywords:: coupled hidden Markov models

expectation maximisation

biomedical signal analysis

maximum a posteriori
Pubs id:: pubs:63014
UUID:: uuid:2c4d8e01-1854-440b-b270-6a84cc5f7934
Local pid:: pubs:63014
Source identifiers:: 63014
Deposit date:: 2012-12-19
ARK identifier:: ark:/29072/ora_2c4d8e011854440bb2706a84cc5f7934

Terms of use

Copyright date:: 2002

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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