Bayesian Model Selection and Statistical Modeling

Author:   Tomohiro Ando
Publisher:   Taylor & Francis Inc
Volume:   v. 199
ISBN:  

9781439836149


Pages:   300
Publication Date:   27 May 2010
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Bayesian Model Selection and Statistical Modeling


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Full Product Details

Author:   Tomohiro Ando
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Volume:   v. 199
Dimensions:   Width: 15.60cm , Height: 1.80cm , Length: 23.40cm
Weight:   0.544kg
ISBN:  

9781439836149


ISBN 10:   1439836140
Pages:   300
Publication Date:   27 May 2010
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

This book is good at describing the various methods which have been proposed in this area. It also gives good examples of the use of most of the methods ... . There is R code available for many of the examples on the author's web pages and this is a very positive aspect. The examples I looked at seemed to be well written. The book has exercises at the end of each chapter. ... this book will make a welcome addition to my bookshelf. If I need to calculate a marginal likelihood, for example, it will inform, or remind, me of the range of methods available. -Lawrence Pettit, Biometrics, September 2012 The book can be useful in several different ways-apart from the most obvious use as a text for a course on Bayesian model selection, it will be of value for anybody working on problems of model selection since it seems to be the first book-length treatment from a Bayesian perspective. Most of the many references are from the 1990s and 2000s, which means that the book (especially Chapters 5-9) will provide a very good overview of the Bayesian literature on model choice, especially for non-Bayesian researchers working in this area. -Thoralf Mildenberger, Statistical Papers (2012) 53


Author Information

Tomohiro Ando is an associate professor of management science in the Graduate School of Business Administration at Keio University in Japan.

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