株式会社極東書店トップ ＞ 商品一覧 ＞ Combining, Modelling and Analyzing Imprecision, Randomness and Dependence. 2024 ed.
商品詳細
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence. 2024 ed.
・ISBN 978-3-031-65992-8 paper EUR 219.99
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| 著者・編者 | Ansari, Jonathan / Fuchs, Sebastian / Trutschnig, Wolfgang / Lubiano, Maria Asuncion / Gil, Maria Angeles / Grzegorzewski, Przemyslaw / Hryniewicz, Olgierd (eds.), |
|---|---|
| シリーズ | (Advances in Intelligent Systems and Computing) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 565 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-51748＞ |
解説
This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024. It covers recent advances in the field of probability, statistics, and data science, with a particular focus on dealing with dependence, imprecision and incomplete information. Reflecting the fact that data science continues to evolve, this book serves as a bridge between different groups of experts, including statisticians, mathematicians, computer scientists, and engineers, and encourages interdisciplinary research. The selected contributions cover a wide range of topics such as imprecise probabilities, random sets, belief functions, possibility theory, and dependence modeling. Readers will find discussions on clustering, depth concepts, dimensionality reduction, and robustness, reflecting the conference's commitment to addressing real-world challenges through innovative methods.