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Fundamentals of High-Dimensional Statistics = With Exercises and R Labs /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of High-Dimensional Statistics/ by Johannes Lederer.
Reminder of title:	With Exercises and R Labs /
Author:	Lederer, Johannes.
Description:	XIV, 355 p. 34 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-3-030-73792-4
ISBN:	9783030737924

Fundamentals of High-Dimensional Statistics = With Exercises and R Labs /
Lederer, Johannes.

Fundamentals of High-Dimensional StatisticsWith Exercises and R Labs /[electronic resource] :by Johannes Lederer. - 1st ed. 2022. - XIV, 355 p. 34 illus., 21 illus. in color.online resource. - Springer Texts in Statistics,2197-4136. - Springer Texts in Statistics,.

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. .

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.

ISBN: 9783030737924

Standard No.: 10.1007/978-3-030-73792-4doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Fundamentals of High-Dimensional Statistics = With Exercises and R Labs /
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