| Subjective and Objective Bayesian Statistics Principles, Models, and Applications | | Author:
| Press, S. James | Series title: | Wiley Series in Probability and Statistics Ser. | ISBN: | 978-0-470-31794-5 | Publication Date: | Sep 2009 | Publisher: | John Wiley & Sons, Incorporated
| Imprint: | Wiley-Interscience | Book Format: | Digital download | List Price: | Contact Supplier contact
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| Book Description:
|
- Shorter, more concise chapters provide flexible coverage of the subject.
- Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
- Includes topics not covered in other books, such as the de Finetti Transform.
- Author S. James Press is the modern guru of Bayesian statistics.
- Shorter, more concise chapters provide flexible coverage of the subject.
- Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
- Includes topics not covered in other books, such as the de Finetti Transform.
- Author S. James Press is the modern guru of Bayesian statistics.
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