Bayesian Methods for Nonlinear Classification and Regression
Language: English
Published by John Wiley and Sons Ltd, 2002
- Hardcover
- New
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Add to basketItem description from seller
Regression analysis models the relationship between a set of responses and another variable: for example, to estimate the true position of a line through a number of observed points. Unfortunately, data rarely conforms to simple curves and straight lines - parametric models - and this text examines more complex - or nonparametric - models. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Ill. BIC Classification: PBK; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 170 x 22. Weight in Grams: 582. . 2002. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780471490364
- Title
- Bayesian Methods for Nonlinear Classification and Regression
- Author
- David G. T. Denison
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2002
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471490369
- ISBN 13
- 9780471490364
* Focuses on the problems of classification and regression using flexible, data-driven approaches.
* Demonstrates how Bayesian ideas can be used to improve existing statistical methods.
* Includes coverage of Bayesian additive models, decision trees, nearest-neighbour, wavelets, regression splines, and neural networks.
* Emphasis is placed on sound implementation of nonlinear models.
* Discusses medical, spatial, and economic applications.
* Includes problems at the end of most of the chapters.
* Supported by a web site featuring implementation code and data sets.
Primarily of interest to researchers of nonlinear statistical modelling, the book will also be suitable for graduate students of statistics. The book will benefit researchers involved inregression and classification modelling from electrical engineering, economics, machine learning and computer science.
"Synopsis" may belong to another edition of this title.
About the Author
David G. T. Denison and Christopher C. Holmes are the authors of Bayesian Methods for Nonlinear Classification and Regression, published by Wiley.
"About the title" may belong to another edition of this title.
Kennys Bookstore
Olney, MD, U.S.A.
AbeBooks seller since October 9, 2009
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