* 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.

Скачать книгу бесплатно (pdf, 36.50 Mb)

---

Читать «Subjective and Objective Bayesian Statistics: Principles, Models, and Applications »