Bayesian Forecasting and Dynamic Models

Mike West

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Idioma: inglés

Editorial: Springer-Verlag New York Inc., 1997

0387947256 / 9780387947259

Serie: Libro 34 de 160 - Springer Series in Statistics

Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc

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Descripción del artículo del vendedor

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.…

N° de ref. del artículo CIN0387947256G

Título
Bayesian Forecasting and Dynamic Models
Autor
Mike West
Editorial
Springer-Verlag New York Inc.
Año de publicación
1997
Estado
Good
Encuadernación
Hardback
Idioma
inglés
ISBN 10
0387947256
ISBN 13
9780387947259
Edición
2ª Edición
Serie
Libro 34 de 160: Springer Series in Statistics

World of Books Inc

Montgomery, IL, Estados Unidos de America

Vendedor de 4 estrellas

Vendedor de IberLibro desde 23 de marzo de 2026

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