Inbunden, Engelska, 2021
Fundamentals of High-Dimensional Statistics
With Exercises and R Labs
Del i serien Springer Texts in Statistics
1082 kr
Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.
Fler format och utgåvor
Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2021-11-17
- Mått: 155 x 235 x 26 mm
- Vikt: 671 g
- Format: Inbunden
- Språk: Engelska
- Serie: Springer Texts in Statistics
- Antal sidor: 355
- Upplaga: 2022
- Förlag: Springer Nature Switzerland AG
- ISBN: 9783030737917
Utforska kategorier
Mer om författaren
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.
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.