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Bayesian forecasting and dynamic models

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. In addition to wide ranging updates to central material, the second edition includes many more exercises and covers new topics at the research and application frontiers of Bayesian forecastings.

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  • "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. In addition to wide ranging updates to central material, the second edition includes many more exercises and covers new topics at the research and application frontiers of Bayesian forecastings."@en
  • "The principles, models and methods of Bayesian forecasting have been developed extensively during the last twenty years. Much progress has been made with mathematical and statistical aspects of forecasting models and related techniques, and experience has been gained through application in a variety of areas in commercial and industrial, scientific and socio-economic fields. Indeed much of the technical development has been driven by the needs of forecasting practitioners. There now exists a relatively complete statistical and mathematical framework that is described and illustrated here for the first time in book form, presenting our view of this approach to modelling and forecasting. The book provides a self-contained text for advanced university students and research workers in business, economic and scientific disciplines, and forecasting practitioners. The material covers mathematical and statistical features of Bayesian analyses of dynamic models, with illustrations, examples and exercises in each chapter. In order that the ideas and techniques of Bayesian forecasting be accessible to students, research workers and practitioners alike, the book includes a number of examples and case studies involving real data, generously illustrated using computer generated graphs. These examples provide issues of modelling, data analysis and forecasting."@en
  • "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. In addition to wide ranging updates to central material, the text includes many more exercises and covers new topics at the research and application frontiers of Bayesian forecastings."
  • "This edition features revised, updated and additional material on the structure, theory and application of classes of dynamic models in Bayesian time series analysis and forecasting. This edition also contains more exercises and covers new topics at the research and application frontiers."@en

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  • "Llibres electrònics"
  • "Ressource Internet (Descripteur de forme)"
  • "Libros electrónicos"
  • "Handboeken (vorm)"
  • "Matériel didactique"
  • "Livre électronique (Descripteur de forme)"
  • "Livres électroniques"
  • "Electronic books"@en
  • "Electronic books"

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  • "Bayesian Forecasting & Dynamic Models"
  • "Bayesian forecasting and dynamic models"
  • "Bayesian forecasting and dynamic models"@en
  • "Bayesian Forecasting and Dynamic Models"
  • "Bayesian forecasting and dynamic models : with 115 Illustrations"
  • "Bayesian Forecasting and Dynamic Models {Springer Series in Statistics}"@en

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