Bayesian Forecasting and Dynamic Models - Rilegato

Harrison, Jeff; West, Mike

Rilegato

ISBN 10: 0387947256 ISBN 13: 9780387947259

Casa editrice: Springer-Verlag GmbH, 1997

Riassunto

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.

Su questo libro

Contenuti

to the DLM: The First-Order Polynomial Model.- to the DLM: The Dynamic Regression Model.- The Dynamic Linear Model.- Univariate Time Series DLM Theory.- Model Specification and Design.- Polynomial Trend Models.- Seasonal Models.- Regression, Autoregression, and Related Models.- Illustrations and Extensions of Standard DLMs.- Intervention and Monitoring.- Multi-Process Models.- Non-Linear Dynamic Models: Analytic and Numerical Approximations.- Exponential Family Dynamic Models.- Simulation-Based Methods in Dynamic Models.- Multivariate Modelling and Forecasting.- Distribution Theory and Linear Algebra.

Product Description

Book by West Mike Harrison Jeff

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0387947256
• ISBN 13: 9780387947259
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 700
• Contatto del produttore: non disponibile
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