Model Selection and Model Averaging Hardback
by Gerda (Katholieke Universiteit Leuven, Belgium) Claeskens, Nils Lid (Universitetet i Oslo) Hjort
Part of the Cambridge Series in Statistical and Probabilistic Mathematics series
Hardback
- Information
Description
Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best?
With so many candidate models, overfitting is a real danger.
Is the monkey who typed Hamlet actually a good writer?
Choosing a model is central to all statistical work with data.
We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field.
Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC.
The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented.
Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods.
The companion website features Data sets and R code.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:332 pages, Worked examples or Exercises; 35 Tables, unspecified; 1 Halftones, unspecified; 45 Line d
- Publisher:Cambridge University Press
- Publication Date:28/07/2008
- Category:
- ISBN:9780521852258
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:332 pages, Worked examples or Exercises; 35 Tables, unspecified; 1 Halftones, unspecified; 45 Line d
- Publisher:Cambridge University Press
- Publication Date:28/07/2008
- Category:
- ISBN:9780521852258
