Bayesian Forecasting Dynamic Models (53 results)

Hardcover. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardback. Condition: Good. 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.…

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

Hardback. Condition: Good. 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.…

Hardcover. Condition: Very Good. 2nd. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: 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. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1300grams, ISBN:0387970258.

Condition: As New. Unread book in perfect condition.

Condition: New.

hardcover. Condition: As New. 2nd. Book is in excellent condition, text is unmarked and pages are tight.

Hardcover. Condition: new. New Copy. Customer Service Guaranteed.

Taschenbuch. Condition: Neu. Dynamics of exchange rate changes | Bayesian forecasting with dynamic linear models | Thomas Hrad | Taschenbuch | 80 S. | Englisch | 2015 | AV Akademikerverlag | EAN 9783639627831 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: 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. …

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. 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 text is concerned with Bayesian learning, inference and forecasting in dynamic environments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Bayesian Forecasting and Dynamic Models | Mike West (u. a.) | Taschenbuch | Springer Series in Statistics | xiv | Englisch | 2013 | Humana | EAN 9781475770988 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: New. pp. 700.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: Fine.

Condition: New.

Condition: New.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity. Num Pages: 351 pages, 116 black & white illustrations, 46 black & white tables, biography. BIC Classification: KJS. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 22. Weight in Grams: 498. . 2011. 2011th Edition. Paperback. . . . .…