Fundamentals of High-Dimensional Statistics

Fundamentals of High-Dimensional Statistics
Author :
Publisher : Springer Nature
Total Pages : 355
Release :
ISBN-10 : 9783030737924
ISBN-13 : 3030737926
Rating : 4/5 (926 Downloads)

Book Synopsis Fundamentals of High-Dimensional Statistics by : Johannes Lederer

Download or read book Fundamentals of High-Dimensional Statistics written by Johannes Lederer and published by Springer Nature. This book was released on 2021-11-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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