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Mixture Hidden Markov Models by Visser Ingmar (15 results)
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Condition: New. pp. 267.
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US$ 123.33
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US$ 127.82
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US$ 127.87
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Mixture and Hidden Markov Models With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Mixture and Hidden Markov Models with R (Use R!)
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Mixture and Hidden Markov Models with R (Hardcover)
Published by Springer International Publishing AG, Cham, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Language: English
First Edition
Hardcover. Condition: new. Hardcover. 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. This book discusses mixture and hidden Markov models for modeling behavioral data. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Mixture and Hidden Markov Models With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 148.67
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Mixture and Hidden Markov Models with R
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Language: English
US$ 129.09
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US$ 211.01
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Add to basketHardcover. Condition: Brand New. 283 pages. 9.25x6.10x0.79 inches. In Stock.
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Mixture and Hidden Markov Models with R (Hardcover)
Published by Springer International Publishing AG, Cham, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Language: English
First Edition
US$ 260.24
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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. This book discusses mixture and hidden Markov models for modeling behavioral data. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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US$ 117.31
Convert currencyUS$ 8.71 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 267 This item is printed on demand.
