Hidden Markov Models for Time Series: An Introduction Using R - Couverture rigide

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Zucchini, Walter ; Macdonald, Iain L.; Langrock, Roland

9781482253832: Hidden Markov Models for Time Series: An Introduction Using R

Couverture rigide

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

Editeur : Chapman & Hall/CRC, 2016

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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.

After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations.

The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations.

Features

Presents an accessible overview of HMMs
Explores a variety of applications in ecology, finance, epidemiology, climatology, and sociology
Includes numerous theoretical and programming exercises
Provides most of the analysed data sets online

New to the second edition

A total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process
New case studies on animal movement, rainfall occurrence and capture-recapture data

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l'auteur

Walter Zucchini, Iain K. MacDonald, Roland Langrock

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Chapman & Hall/CRC
Date d'�dition: 2016
Langue: anglais
ISBN 10: 1482253836
ISBN 13: 9781482253832
Reliure: Reli�
Num�ro d'�dition: 2
Nombre de pages: 370
Coordonn�es du fabricant: Easy Access System Europe O�, 16879218
gpsr.requests@easproject.com

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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Langrock, Roland,MacDonald, Iain L.,Zucchini, Walter

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N� de r�f. du vendeur S_367950805

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Hidden Markov Models for Time Series

Zucchini, Walter; MacDonald, Iain L.; Langrock, Roland

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series : An Introduction Using R

Zucchini, Walter; Macdonald, Iain L.; Langrock, Roland

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series

Walter Zucchini

Edit� par Chapman And Hall/CRC Jun 2016, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations.The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations.FeaturesPresents an accessible overview of HMMsExplores a variety of applications in ecology, finance, epidemiology, climatology, and sociologyIncludes numerous theoretical and programming exercisesProvides most of the analysed data sets onlineNew to the second editionA total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state processNew case studies on animal movement, rainfall occurrence and capture-recapture data 400 pp. Englisch. N� de r�f. du vendeur 9781482253832

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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Zucchini, Walter; MacDonald, Iain L.; Langrock, Roland

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Hidden Markov Models for Time Series : An Introduction Using R

Zucchini, Walter; Macdonald, Iain L.; Langrock, Roland

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series : An Introduction Using R

Zucchini, Walter; Macdonald, Iain L.; Langrock, Roland

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series

Walter Zucchini

Edit� par CRC Press, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series

Walter Zucchini

Edit� par CRC Press, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series : An Introduction Using R

Zucchini, Walter; Macdonald, Iain L.; Langrock, Roland

Edit� par Chapman and Hall/CRC, 2016

ISBN 10 : 1482253836 ISBN 13 : 9781482253832

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Hidden Markov Models for Time Series: An Introduction Using R - Couverture rigide

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