Hidden Markov Models for Time Series | An Introduction Using R, Second Edition

Walter Zucchini (u. a.)

ISBN 10: 103217949X / ISBN 13: 9781032179490

Published by Chapman and Hall/CRC, 2021

About this Item

Hidden Markov Models for Time Series | An Introduction Using R, Second Edition | Walter Zucchini (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032179490 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 120545468

Bibliographic Details

• Title: Hidden Markov Models for Time Series | An Introduction Using R, Second Edition
• Publisher: Chapman and Hall/CRC
• Publication Date: 2021
• Language: English
• ISBN 10: 103217949X
• ISBN 13: 9781032179490
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 234W x 156H x 22D millimeters 234 millimeters width by 156 millimeters height by 22 millimeters depth
• Weight: 605 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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

1. Presents an accessible overview of HMMs



2. Explores a variety of applications in ecology, finance, epidemiology, climatology, and sociology



3. Includes numerous theoretical and programming exercises



4. Provides most of the analysed data sets online

New to the second edition

1. A total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process



2. New case studies on animal movement, rainfall occurrence and capture-recapture data

About the Author

Walter Zucchini, Iain K. MacDonald, Roland Langrock