Fundamentals of High Dimensional Statistics - cover

Fundamentals of High Dimensional Statistics

Johannes Lederer

  • 17 november 2021
  • 9783030737917
Wil ik lezen
  • Wil ik lezen
  • Aan het lezen
  • Gelezen
  • Verwijderen

Samenvatting:

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.



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.



We gebruiken cookies om er zeker van te zijn dat je onze website zo goed mogelijk beleeft. Als je deze website blijft gebruiken gaan we ervan uit dat je dat goed vindt. Ok