Fundamentals of High-Dimensional Statistics

Discover the essential concepts of high-dimensional statistics with Fundamentals of High-Dimensional Statistics by Johannes Lederer. Published by Springer Nature Switzerland AG in 2022, this comprehensive textbook spans 355 pages and serves as a crucial resource for both beginners and experienced practitioners in the field.

This engaging book provides a step-by-step introduction to the key tools and principles of high-dimensional statistics. It covers critical topics such as high-dimensional linear regression, graphical models, and statistical inference, ensuring a smooth learning curve for readers. Each chapter is designed to build a solid foundation, making complex concepts accessible and understandable.

Additionally, the author includes valuable suggestions for further reading, encouraging readers to deepen their understanding and expand their knowledge. Whether you are a student, researcher, or professional, Fundamentals of High-Dimensional Statistics is an indispensable addition to your library.