Bayesian M-T clustering for reduced parameterisation of Markov chains used for nonlinear adaptive elements
DOI10.1016/S0005-1098(01)00060-7zbMath0979.93118OpenAlexW1990010869MaRDI QIDQ5939333
Elmawati L. Sutanto, Markéta Valečková, Miroslav Kárný
Publication date: 28 October 2001
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0005-1098(01)00060-7
system identificationMarkov chainsadaptive controlcluster algorithmBayesian estimationnonlinear stochastic systemsreduction of dimensionswitching modes
Estimation in multivariate analysis (62H12) Clustering in the social and behavioral sciences (91C20) Nonlinear systems in control theory (93C10) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Identification in stochastic control theory (93E12)
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Cites Work
- Statistical decision theory and Bayesian analysis. 2nd ed
- Bayesian system identification
- Bayesian learning for neural networks
- Problems of identification and control
- Quantification of prior information revised
- On a general concept of forgetting
- Statistical analysis of finite mixture distributions
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