Mixture and Hidden Markov Models with R

Language: English

Published by Springer, Springer Jun 2022, 2022

3031014383 / 9783031014383

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This item is printed on demand - Print on Demand Titel. Neuware -This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models which are useful when an observed system occupies a number of distinct 'regimes' or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Covering both mixture and hidden Markov models in a single book allows main concepts and issues to be introduced in the relatively simpler context of mixture models. After a thorough treatment of the theory and practice of mixture modeling, the conceptual leap towards hidden Markov models is relatively straightforward.This book provides many practical examples illustrating the wide variety of uses of the models. These examples are drawn from our own work in psychology, as well as other areas such as financial time series and climate data. Most examples illustrate the use of the authors' depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models. All examples are fully reproducible and the accompanying hmmR package provides all the datasets used, as well as additional functionality. This book is suitable for advanced students and researchers with an applied background.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.…

Seller Inventory # 9783031014383

Title
Mixture and Hidden Markov Models with R
Author
Ingmar Visser
Publisher
Springer, Springer Jun 2022
Publication year
2022
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031014383
ISBN 13
9783031014383
Item weight
594 grams
Dimensions
241x160x21 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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