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portada Inference in Hidden Markov Models
Type
Physical Book
Publisher
Year
2010
Language
English
Pages
672
Format
Paperback
ISBN
1441923195
ISBN13
9781441923196
Categories

Inference in Hidden Markov Models

Olivier Cappé|Eric Moulines|Tobias Ryden (Author) · Springer · Paperback

Inference in Hidden Markov Models - Olivier Cappé|Eric Moulines|Tobias Ryden

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Synopsis "Inference in Hidden Markov Models "

Hidden 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. In a unified way the book covers both models with finite state spaces, which allow for exact algorithms for filtering, estimation etc. and models with continuous state spaces (also called state-space models) requiring approximate simulation-based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. The book builds on recent developments, both at the foundational level and the computational level, to present a self-contained view.

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