Fundamentals of High Dimensional Statistics

This book PDF is perfect for those who love Mathematics genre, written by Johannes Lederer and published by Springer Nature which was released on 16 November 2021 with total hardcover pages 355. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Fundamentals of High Dimensional Statistics books below.

Fundamentals of High Dimensional Statistics
Fundamentals of High Dimensional Statistics
Author : Johannes Lederer
File Size : 50,8 Mb
Publisher : Springer Nature
Language : English
Release Date : 16 November 2021
ISBN : 9783030737924
Pages : 355 pages
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Fundamentals of High Dimensional Statistics by Johannes Lederer 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.

Fundamentals of High Dimensional Statistics

Fundamentals of High Dimensional Statistics by Johannes Lederer

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,

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