Fundamentals of High-Dimensional Statistics:With Exercises and R Labs

Fundamentals of High-Dimensional Statistics:With Exercises and R Labs (Springer Texts in Statistics)
Part of:Springer Texts in Statistics (73 Books) | Author:Johannes Lederer
Publisher Finelybook 出版社:Springer; 1st ed. 2022 edition (November 17, 2021)
Language 语言:English
pages 页数:369 pages
ISBN-10 书号:3030737918
ISBN-13 书号:9783030737917

Book Description
This textbook provides a step-Author:-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented Author: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.

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