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Fundamentals of High-Dimensional Statistics

With Exercises and R Labs

Lederer, Johannes
Englisch | Hardcover

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.

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Produktinformationen "Fundamentals of High-Dimensional Statistics"

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.

Untertitel
With Exercises and R Labs
H | B | T | Gramm
241 mm | 160 mm | 26 mm | 723 gr
Erscheinungsjahr
2021
FSK
0
Ausgabe
Hardcover
Verlag
Springer
ISBN-10
3030737918
ISBN-13
9783030737917
Autor
Lederer, Johannes
Sprache
Englisch
Seitenanzahl
372
Themen
Maschinelles Lernen, Mathematische und statistische Software, Datenbanken / Datenmanagement, Wahrscheinlichkeitsrechnung und Statistik
Verantwortliche Person gemäß Art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

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Fundamentals of High-Dimensional Statistics
Fundamentals of High-Dimensional Statistics
Lederer, Johannes
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.

Buch | Englisch

59,36 € 106,99 € (44.52% gespart)
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