High-dimensional statistics, with applications to genome-wide association studies

DOI10.4171/EMSS/4-1-3zbMath1381.62094OpenAlexW2616100193MaRDI QIDQ2363092

Peter Bühlmann

Publication date: 13 July 2017

Published in: EMS Surveys in Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4171/emss/4-1-3

zbMATH Keywords

confidence regionGWAShigh-dimensional linear regression modelhypothesis testing, Lassovariable screen and selection

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Protein sequences, DNA sequences (92D20)

Related Items (1)

Hierarchical inference for genome-wide association studies: a view on methodology with software

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