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Bayesian Forecasting and Dynamic Models
West, Mike (Duke University, Durham, Nc, Usa); Harrison, Jeff
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Description for Bayesian Forecasting and Dynamic Models
Paperback. Series: Springer Series in Statistics. Num Pages: 696 pages, biography. BIC Classification: KCA; PBT. Category: (G) General (US: Trade). Dimension: 234 x 147 x 37. Weight in Grams: 986.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
696
Condition
New
Series
Springer Series in Statistics
Number of Pages
682
Place of Publication
New York, NY, United States
ISBN
9781475770988
SKU
V9781475770988
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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