Fundamentals of high-dimensional statistics [electronic resource] : with exercises and R labs / Johannes Lederer.

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Fundamentals of high-dimensional statistics [electronic resource] : with exercises and R labs / Johannes Lederer.

9783030737924 (electronic bk.)
3030737926 (electronic bk.)
3030737918
9783030737917

Cham, Switzerland : Springer, [2022]

English

1 online resource.

10.1007/978-3-030-73792-4 doi

QA276

519.5

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.

Includes bibliographical references and index.

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Online resource; title from PDF title page (Springerlink, viewed November 29, 2021).

Springer texts in statistics.

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