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Algebraic and Geometric Methods in Statistics. 統計学における代数法と幾何学的方法
・ISBN 978-0-521-89619-1 hard GB£ 137.00
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-511-64240-1
| 著者・編者 | Gibilisco, Paolo / Riccomagno, E. / Rogantin, M. P. et al. (eds.), |
|---|---|
| 出版社 | (Cambridge U. Pr., UK) |
| 出版年月 | 2009 |
| ページ数 | 385 pp. |
| 言語 | ENG |
| ニュース番号 | <569-230> |
解説
This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book presents a new way of approaching classical statistical problems and raises scientific questions that would never have been considered without the interaction of these two disciplines. Beginning with a brief introduction to each area, using simple illustrative examples, the book then proceeds with a collection of reviews and some new results written by leading researchers in their respective fields. Part III dwells in both classical and quantum information geometry, containing surveys of key results and new material. Finally, Part IV provides examples of the interplay between algebraic statistics and information geometry. Computer code and proofs are also available online, where key examples are developed in further detail.