Familywise error rate control via knockoffs

DOI10.1214/16-EJS1129zbMath1341.62245arXiv1505.06549MaRDI QIDQ276230

Weijie Su, Lucas Janson

Publication date: 3 May 2016

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1505.06549

zbMATH Keywords

negative binomial distributionlinear regressionmultiple testingLasso\(k\)-familywise error rateknockoffs

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Paired and multiple comparisons; multiple testing (62J15)

Related Items

A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models ⋮ Threshold Selection in Feature Screening for Error Rate Control ⋮ Derandomizing Knockoffs ⋮ A tradeoff between false discovery and true positive proportions for sparse high-dimensional logistic regression ⋮ Relaxing the assumptions of knockoffs by conditioning ⋮ Debiasing the Lasso: optimal sample size for Gaussian designs ⋮ Only closed testing procedures are admissible for controlling false discovery proportions ⋮ Simple expressions of the LASSO and SLOPE estimators in low-dimension ⋮ Spatially relaxed inference on high-dimensional linear models ⋮ A knockoff filter for high-dimensional selective inference ⋮ Revisiting feature selection for linear models with FDR and power guarantees

Uses Software

• covTest

Cites Work

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