| 书目名称 | Fundamentals of High-Dimensional Statistics |
| 副标题 | With Exercises and R |
| 编辑 | Johannes Lederer |
| 视频video | |
| 概述 | Introduces readers to the mathematical tools and principles of high-dimensional statistics.Includes numerous exercises, many of them with detailed solutions.Features computer labs in R that convey val |
| 丛书名称 | Springer Texts in Statistics |
| 图书封面 |  |
| 描述 | .This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them with detailed solutions, and computer labs in R that convey valuable practical insights. 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. Given its scope, the textbook is intended for beginning graduate and advanced undergraduate students in statistics, biostatistics, and bioinformatics, though it will be equally useful to a broader audience.. |
| 出版日期 | Textbook 2022 |
| 关键词 | high-dimensional statistics; regularization; sparsity; linear regression; graphical models; high-dimensio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-73792-4 |
| isbn_softcover | 978-3-030-73794-8 |
| isbn_ebook | 978-3-030-73792-4Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl |
发表于 2025-3-21 19:09:02
