Bayes linear statistics theory and methods
Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Th...
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| Format: | eBook |
| Language: | English |
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John Wiley & Sons
2007
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| Series: | Wiley series in probability and statistics
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| Collection: | Wiley Online Books - Collection details see MPG.ReNa |
| Summary: | Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. 'Bayes Linear Statistics' presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. |
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| Physical Description: | 537 S. |
| ISBN: | 9780470015629 |