Fundamentals of High-Dimensional Statistics [electronic resource] With Exercises and R Labs / 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 prac...

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Bibliographic Details
Main Author:	Lederer, Johannes (Author)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Springer Texts in Statistics,
Subjects:	Statistics . Big data. Artificial intelligence—Data processing. Mathematical statistics—Data processing. Machine learning. Biometry.
Online Access:	Springer Mathematics and Statistics eBooks 2022 English/International: 2022 (Springer Link)
Variant Title:	Fundamentals of High-Dimensional Statistics: With Exercises and R Labs
Format:	Electronic eBook

Contents:

Preface
Notation
Introduction
Linear Regression
Graphical Models
Tuning-Parameter Calibration
Inference
Theory I: Prediction
Theory II: Estimation and Support Recovery
A Solutions
B Mathematical Background
Bibliography
Index. .