Inference in Hidden Markov Models ILO A closer analysis of the

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Verpflegung

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Inference in Hidden Markov Models ILO A closer analysis of theHidden Markov models have become a widely used class of statistical models with applications in diverse areas such as communications engineering, bioinformatics, finance and many more. This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of