Fundamentals of High-Dimensional Statistics
With Exercises and R Labs
(Sprache: Englisch)
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...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
Fr. 100.50
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Fundamentals of High-Dimensional Statistics “
Klappentext zu „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.
Inhaltsverzeichnis zu „Fundamentals of High-Dimensional 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.
Autoren-Porträt von Johannes Lederer
Johannes Lederer is a Professor of Statistics at the Ruhr-University Bochum, Germany. He received his PhD in mathematics from the ETH Zürich and subsequently held positions at UC Berkeley, Cornell University, and the University of Washington. He has taught high-dimensional statistics to applied and mathematical audiences alike, e.g. as a Visiting Professor at the Institute of Statistics, Biostatistics, and Actuarial Sciences at UC Louvain, and at the University of Hong Kong Business School.
Bibliographische Angaben
- Autor: Johannes Lederer
- 2022, 2022, XIV, 355 Seiten, 21 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030737942
- ISBN-13: 9783030737948
Sprache:
Englisch
Kommentar zu "Fundamentals of High-Dimensional Statistics"
0 Gebrauchte Artikel zu „Fundamentals of High-Dimensional Statistics“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Fundamentals of High-Dimensional Statistics".
Kommentar verfassen