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Fundamentals of High-Dimensional Statistics: With Exercises and R Labs - Springer Texts in Statistics Johannes Lederer 1st ed. 2022 edition
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Fundamentals of High-Dimensional Statistics: With Exercises and R Labs - Springer Texts in Statistics
Johannes Lederer
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. The book covers the theory and practice of high-dimensional linear regression, graphical models, and inference, ensuring readers have a smooth start in the field. It also offers suggestions for further reading.
427 pages, 21 Illustrations, color; 13 Illustrations, black and white; X, 427 p. 34 illus., 21 illus
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 17, 2021 |
| ISBN13 | 9783030737917 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 355 |
| Dimensions | 150 × 220 × 20 mm · 723 g |
| Language | German |
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