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Subjective and Objective Bayesian Statistics: Principles, Models, and Applications
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Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
| Inhalt: |
| * 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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