Bayesian Forecasting and Dynamic Models - Info and Reading Options
By Mike West
"Bayesian Forecasting and Dynamic Models" was published by Springer in 1989 - Berlin, the book is classified in Business & Economics genre, it has 704 pages and the language of the book is English.
“Bayesian Forecasting and Dynamic Models” Metadata:
- Title: ➤ Bayesian Forecasting and Dynamic Models
- Author: Mike West
- Language: English
- Number of Pages: 704
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: 1989
- Publish Location: Berlin
- Genres: Business & Economics
“Bayesian Forecasting and Dynamic Models” Subjects and Themes:
- Subjects: ➤ Bayesian statistical decision theory - Linear models (Statistics) - Linearmodels (Statistics)
Edition Specifications:
- Pagination: xxi,704p. ;
Edition Identifiers:
- Google Books ID: bOinJor20vsC
- The Open Library ID: OL21347790M - OL12165811W
- Online Computer Library Center (OCLC) ID: 19981004
- Library of Congress Control Number (LCCN): 89011497
- ISBN-13: 9780387970257 - 9781475793659
- ISBN-10: 0387970258
- All ISBNs: 0387970258 - 9780387970257 - 9781475793659
AI-generated Review of “Bayesian Forecasting and Dynamic Models”:
Snippets and Summary:
In this book we are concerned with Bayesian learning and forecast ing in dynamic environments. We describe the structure and theory of classes of dynamic models, and their uses in Bayesian forecasting.
"Bayesian Forecasting and Dynamic Models" Description:
Google Books:
In this book we are concerned with Bayesian learning and forecast ing in dynamic environments. We describe the structure and theory of classes of dynamic models, and their uses in Bayesian forecasting. The principles, models and methods of Bayesian forecasting have been developed extensively during the last twenty years. This devel opment has involved thorough investigation of mathematical and sta tistical aspects of forecasting models and related techniques. With this has come experience with application in a variety of areas in commercial and industrial, scientific and socio-economic fields. In deed much of the technical development has been driven by the needs of forecasting practitioners. As a result, there now exists a relatively complete statistical and mathematical framework, although much of this is either not properly documented or not easily accessible. Our primary goals in writing this book have been to present our view of this approach to modelling and forecasting, and to provide a rea sonably complete text for advanced university students and research workers. The text is primarily intended for advanced undergraduate and postgraduate students in statistics and mathematics. In line with this objective we present thorough discussion of mathematical and statistical features of Bayesian analyses of dynamic models, with illustrations, examples and exercises in each Chapter.
Read “Bayesian Forecasting and Dynamic Models”:
Read “Bayesian Forecasting and Dynamic Models” by choosing from the options below.
Search for “Bayesian Forecasting and Dynamic Models” downloads:
Visit our Downloads Search page to see if downloads are available.
Borrow "Bayesian Forecasting and Dynamic Models" Online:
Check on the availability of online borrowing. Please note that online borrowing has copyright-based limitations and that the quality of ebooks may vary.
- Is Online Borrowing Available: Yes
- Preview Status: borrow
- Check if available: The Open Library & The Internet Archive
Find “Bayesian Forecasting and Dynamic Models” in Libraries Near You:
Read or borrow “Bayesian Forecasting and Dynamic Models” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Bayesian Forecasting and Dynamic Models” at a library near you.
Buy “Bayesian Forecasting and Dynamic Models” online:
Shop for “Bayesian Forecasting and Dynamic Models” on popular online marketplaces.
- Ebay: New and used books.