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Time-frequency decompositions: Bayesian model-based approaches

Publication ,  Journal Article
West, M
Published in: Conference Record of the Asilomar Conference on Signals, Systems and Computers
December 1, 1998

A range of developments in Bayesian time series modelling in recent years has focussed on issues of identifying latent structure in non-stationary time series, particularly driven by applications in which time-varying spectral structure of time series is an inherent and prime feature. This talk will review some of these developments, including the theoretical and methodological basis of decomposition methods in state-space models. The resulting methods can be viewed as providing a time-domain representation of changing spectral characteristics. Examples will be drawn from problems in clinical EEG studies, where the assessment of changes over time in frequency structure of components of EEG signals is key to characterizing brain seizures under various treatments.

Duke Scholars

Published In

Conference Record of the Asilomar Conference on Signals, Systems and Computers

ISSN

1058-6393

Publication Date

December 1, 1998

Volume

1

Start / End Page

276
 

Citation

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ICMJE
MLA
NLM
West, M. (1998). Time-frequency decompositions: Bayesian model-based approaches. Conference Record of the Asilomar Conference on Signals, Systems and Computers, 1, 276.
West, M. “Time-frequency decompositions: Bayesian model-based approaches.” Conference Record of the Asilomar Conference on Signals, Systems and Computers 1 (December 1, 1998): 276.
West M. Time-frequency decompositions: Bayesian model-based approaches. Conference Record of the Asilomar Conference on Signals, Systems and Computers. 1998 Dec 1;1:276.
West, M. “Time-frequency decompositions: Bayesian model-based approaches.” Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 1, Dec. 1998, p. 276.
West M. Time-frequency decompositions: Bayesian model-based approaches. Conference Record of the Asilomar Conference on Signals, Systems and Computers. 1998 Dec 1;1:276.

Published In

Conference Record of the Asilomar Conference on Signals, Systems and Computers

ISSN

1058-6393

Publication Date

December 1, 1998

Volume

1

Start / End Page

276