<P>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 states. In a unified way t
Inference in Hidden Markov Models
β Scribed by Olivier CappΓ©, Eric Moulines, Tobias Ryden
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 652
- Series
- Springer series in statistics
- Edition
- 1st edition
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ°
π SIMILAR VOLUMES
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 statist
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