Download the fantastic book titled Fundamentals of High Dimensional Statistics written by Johannes Lederer, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Fundamentals of High Dimensional Statistics", which was released on 16 November 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Fundamentals of High Dimensional Statistics by Johannes Lederer PDF
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 About Fundamentals of High Dimensional Statistics PDF
- Author : Johannes Lederer
- Publisher : Springer Nature
- Genre : Mathematics
- Total Pages : 355 pages
- ISBN : 3030737926
- Release Date : 16 November 2021
- PDF File Size : 22,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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