[PDF.19ra] Inference in Hidden Markov Models (Springer Series in Statistics)

Inference in Hidden Markov Models (Springer Series in Statistics)

[PDF.nh76] Inference in Hidden Markov Models (Springer Series in Statistics)

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 | #1771583 in Books |  2007-01-26 | Original language:English | PDF # 1 |  9.21 x1.44 x6.14l,2.38 | File type: PDF | 653 pages

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||3 of 3 people found the following review helpful.| formal but thorough|By Joshua V. Dillon|I don't usually leave reviews but I want to say that this is a very good book but indeed it is formal and can be overly-burdened with notation. If you are not comfortable with measure theory then you will likely find the presentation overly complicated (although, from a formal perspective it is certainly not). The authors present self-c| ||From the reviews: |"By providing an overall survey of results obtained so far in a very readable manner, and also presenting some new ideas, this well-written book will appeal to academic researchers in the field of HMMs, with PhD students working on related

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 the book covers both models with finite state spaces and models with continuous state spaces (also called state-space models) requiring approximate simulation-based algorithms ...

You easily download any file type for your device.Inference in Hidden Markov Models (Springer Series in Statistics)   |  Olivier Cappé, Eric Moulines, Tobias Ryden. Which are the reasons I like to read books. Great story by a great author.

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