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Sinopsis
This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers.
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De la contraportada
The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación1999
- ISBN 10 0387947256
- ISBN 13 9780387947259
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición2
- Número de páginas700
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Bayesian Forecasting and Dynamic Models Springer Series in Statistics
Librería: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Alemania
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gebundene Ausgabe. Condición: Gut. 2. Auflage;. 680 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1120. Nº de ref. del artículo: 2157588
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Bayesian Forecasting and Dynamic Models
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Springer, New York, 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
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Hardcover. Condición: As new. Second Edition. Springer Series in Statistics. xiv, 680, [1] p. 24 cm. 115 figures. Yellow hardcover. Topics: the dynamic linear model; DLM theory; polynomial trend, seasonal, regression, autoregression, and related models; multi-process models; non-linear dynamic models; exponential family dynamic models; multivariate modelling and forecasting; distribution theory and linear algebra; etc. Bibliography and index. Nº de ref. del artículo: 116416
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Librería: Studibuch, Stuttgart, Alemania
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hardcover. Condición: Gut. 696 Seiten; 9780387947259.3 Gewicht in Gramm: 2. Nº de ref. del artículo: 912849
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Hardcover. Condición: As New. No Jacket. 2nd Edition. This is a fine, as new, hardcover second edition copy, no DJ, pale brown spine. Nº de ref. del artículo: 103792
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780387947259. Nº de ref. del artículo: 5845159
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Bayesian Forecasting and Dynamic Models
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Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780387947259. Nº de ref. del artículo: 4138256
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Bayesian Forecasting and Dynamic Models
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of. Nº de ref. del artículo: 5912159
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Bayesian Forecasting and Dynamic Models
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Springer New York Jan 1997, 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti c, and socio-economic elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers. 700 pp. Englisch. Nº de ref. del artículo: 9780387947259
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Condición: New. In English. Nº de ref. del artículo: ria9780387947259_new
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Bayesian Forecasting and Dynamic Models
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Springer New York, Springer US, 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematical and statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti c, and socio-economic elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers. Nº de ref. del artículo: 9780387947259
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