Hidden Markov chain estimation and parameterisation via ICA-based feature-selection

DOI10.1007/S10044-005-0249-2zbMath1426.62250OpenAlexW2083508131MaRDI QIDQ851724

David Windridge, Richard Bowden

Publication date: 22 November 2006

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-005-0249-2

zbMATH Keywords

hidden Markov modelsparameterisationICAfeature-selectionfeature-spacessign-recognition

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Cites Work

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• Independent component analysis, a new concept?
• Factorial hidden Markov models
• Diagnostic tools for evaluating and updating hidden Markov models
• Asymptotics of graphical projection pursuit
• An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology

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