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High-Dimensional Regression Modeling : Methodology, Applications, and Software.
・ISBN 978-1-4822-4997-2 hard GB£ 69.99
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| 著者・編者 | Breheny, Patrick / Huang, Jian, |
|---|---|
| シリーズ | Chapman & Hall/CRC Texts in Statistical Science |
| 出版社 | (Chapman & Hall/CRC, US) |
| 出版年月 | 2030 |
| ページ数 | 450 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-13038> |
解説
This book covers the methodology, applications, and software used in high-dimensional regression modeling. Data collected in many fields is high-dimensional in the sense that many characteristics, or features, are recorded for each observation. The collection of this kind of data is a relatively recent phenomenon, and it poses many challenges that traditional statistical methods have proven incapable of addressing. During the past decade, penalized regression models have become a widespread and important tool for analyzing these kinds of data sets.