Fundamentals of High-Dimensional Statistics

DOI10.1007/978-3-030-73792-4zbMath1499.62005OpenAlexW4200067014MaRDI QIDQ4993583

Johannes Lederer

Publication date: 15 June 2021

Published in: Springer Texts in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-73792-4

zbMATH Keywords

ridge regressionGaussian graphical modelsLasso

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Ridge regression; shrinkage estimators (Lasso) (62J07) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Probabilistic graphical models (62H22) Statistical aspects of big data and data science (62R07)

Related Items

Bayesian model selection for high-dimensional Ising models, with applications to educational data, Unnamed Item

Uses Software

• R