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Recursive estimation in mixture models with Markov regime

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Publication:3987468
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DOI10.1109/18.104334zbMath0739.62068OpenAlexW2132670804MaRDI QIDQ3987468

Ulla Holst, Georg Lindgren

Publication date: 28 June 1992

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.104334

zbMATH Keywords

hidden Markov chainmaximum likelihoodEM-algorithmrecursive algorithmmixture modelsapproximately normally distributed estimatesrecursive ML-estimationsimulations of symmetric normal mixtures


Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05)


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On-line parameter estimation for a failure-prone system subject to condition monitoring, On recursive estimation for hidden Markov models, RECURSIVE ESTIMATION IN SWITCHING AUTOREGRESSIONS WITH A MARKOV REGIME, Estimating the Order of Hidden Markov Models, Approximate Bayesian inference for simple mixtures, Recursive online EM estimation of mixture autoregressions, Asymptotically efficient recursive estimation for incomplete data models using the observed information., Recursions for the MMPP Score Vector and Observed Information Matrix



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