9781032040042 - time series: modeling, computation, and inference, second edition di prado, raquel; ferreira, marco a. r.; west, mike (23 risultati)

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Taylor & Francis Ltd, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Paperback. Condizione: Very Good. This is the second edition of a popular graduate level textbook on time series modeling, computation and inference. The book is essentially unique in its approach, with a focus on Bayesian methods, although classical methods are also covered.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: H N H International Limited, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: H N H International Limited, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: H N H International Limited, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
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Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Paperback. Condizione: New. Winner of the 2025 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approac…hes for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and forecasting, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and contacts research frontiers in multivariate time series modeling and forecasting.It presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment, and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation, including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields, including signal processing, biomedicine, environmental science, and finance.Along with core models and methods, the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years, and contacts recent and relevant modeling developments and research challenges.New in the second edition:Expanded on aspects of core model theory and methodology.Multiple new examples and exercises.Detailed development of dynamic factor models.Updated discussion and connections with recent and current research frontiers.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2nd edition. 472 pages. 9.19x6.13x1.07 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Time Series | Modeling, Computation, and Inference, Second Edition | Raquel Prado (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781032040042 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de |… Anbieter: preigu.

Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. Winner of the 2025 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approac…hes for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and forecasting, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and contacts research frontiers in multivariate time series modeling and forecasting.It presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment, and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation, including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields, including signal processing, biomedicine, environmental science, and finance.Along with core models and methods, the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years, and contacts recent and relevant modeling developments and research challenges.New in the second edition:Expanded on aspects of core model theory and methodology.Multiple new examples and exercises.Detailed development of dynamic factor models.Updated discussion and connections with recent and current research frontiers.

Lingua: Inglese
Editore: Chapman And Hall/CRC Sep 2023, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Winner of the 2025 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, C…omputation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and forecasting, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and contacts research frontiers in multivariate time series modeling and forecasting.It presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment, and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation, including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields, including signal processing, biomedicine, environmental science, and finance.Along with core models and methods, the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years, and contacts recent and relevant modeling developments and research challenges.New in the second edition:Expanded on aspects of core model theory and methodology.Multiple new examples and exercises.Detailed development of dynamic factor models.Updated discussion and connections with recent and current research frontiers. 474 pp. Englisch.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Lingua: Inglese
Editore: CRC Press, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Raquel Prado is Professor in the Department of Statistics at the Baskin School of Engineering of the University of California Santa Cruz, USA. Her main research areas are time series analysis and Bayesian modeling -…with a focus on analy.

Lingua: Inglese
Editore: Chapman And Hall/CRC, 2023
Serie: Libro 84 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Winner of the 2025 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Comput…ation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and forecasting, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and contacts research frontiers in multivariate time series modeling and forecasting.It presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment, and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation, including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields, including signal processing, biomedicine, environmental science, and finance.Along with core models and methods, the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years, and contacts recent and relevant modeling developments and research challenges.New in the second edition:Expanded on aspects of core model theory and methodology.Multiple new examples and exercises.Detailed development of dynamic factor models.Updated discussion and connections with recent and current research frontiers.