Hidden Markov Models for Time Series

Language: English

Published by Taylor and Francis Ltd, GB, 2021

103217949X / 9781032179490

Series: Book 66 of 110 - ISSN

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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.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 online New 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.

Seller Inventory # LU-9781032179490

Title
Hidden Markov Models for Time Series
Author
Iain L. MacDonald, Walter Zucchini, Roland Langrock
Publisher
Taylor and Francis Ltd, GB
Publication year
2021
Condition
New
Binding
Paperback
Language
English
ISBN 10
103217949X
ISBN 13
9781032179490
Edition
2nd.
Item weight
625 grams
Dimensions
15.6 x 2.31 x 23.4 cm
Series
Book 66 of 110: ISSN

Rarewaves.com USA

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