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Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)

Posted on 2010-03-16




Name:Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)
ASIN/ISBN:1584885734
Language:English
File size:5.3 Mb
Publish Date: 2009-04-28
ISBN: 1584885734
Pages: 269
File Type: PDF
Other Info: Walter Zucchini, Iain L. MacDonald; Chapman & Hall/CRC; 5.3MB
   Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)



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Hidden Markov Models for Time Series

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.

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