Fundamentals of High Dimensional Statistics is popular PDF and ePub book, written by Johannes Lederer in 2021-11-16, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Fundamentals of High Dimensional Statistics can be Read Online from any device for your convenience.
Fundamentals of High Dimensional Statistics Book PDF Summary
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.
Detail Book of Fundamentals of High Dimensional Statistics PDF
- Author : Johannes Lederer
- Release : 16 November 2021
- Publisher : Springer Nature
- ISBN : 9783030737924
- Genre : Mathematics
- Total Page : 355 pages
- Language : English
- PDF File Size : 20,7 Mb
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