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Fundamentals of High-Dimensional Statistics

With Exercises and R Labs
BuchGebunden
355 Seiten
Englisch
Springererschienen am17.11.20212022
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. 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.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR90,94
E-BookPDF1 - PDF WatermarkE-Book
EUR90,94

Produkt

KlappentextThis textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. 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.
Zusammenfassung
Introduces readers to the mathematical tools and principles of high-dimensional statistics

Includes numerous exercises, many of them with detailed solutions

Features computer labs in R that convey valuable practical insights

Offers suggestions for further reading
Details
ISBN/GTIN978-3-030-73791-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum17.11.2021
Auflage2022
Seiten355 Seiten
SpracheEnglisch
IllustrationenXIV, 355 p. 34 illus., 21 illus. in color.
Artikel-Nr.1404613

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

Autor

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.
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Lederer, Johannes