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Inference in Hidden Markov Models formatIsbn:Softcover - 9781441923196 limits and alternatives explored by

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limits and alternatives explored by C

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Inference in Hidden Markov Models formatIsbn:Softcover - 9781441923196 limits and alternatives explored byHidden 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

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