Librería: Mooney's bookstore, Den Helder, Holanda
EUR 39,76
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 104,72
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 267.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 106,78
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 111,66
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 267.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 127,41
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 114,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 114,48
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 128,53
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Librería: moluna, Greven, Alemania
EUR 115,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 163,85
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
EUR 194,33
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 283 pages. 9.25x6.10x0.79 inches. In Stock.
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 examplesillustratingthe 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.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 204,20
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: Mooney's bookstore, Den Helder, Holanda
EUR 81,34
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very good.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 110,22
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 267 This item is printed on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jun 2022, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 128,39
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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 examplesillustratingthe 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. 284 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Jun 2022, 2022
ISBN 10: 3031014383 ISBN 13: 9783031014383
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. 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.