Controlling False Discovery Rate Using Gaussian Mirrors

Veridical data science

(2020) Bin Yu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Panning for gold: ‘model-X’ knockoffs for high dimensional controlled variable selection

(2018) Emmanuel Candès et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Use of modern tomato breeding germplasm for deciphering the genetic control of agronomical traits by Genome Wide Association study

(2017) Guillaume Bauchet et al.   THEORETICAL AND APPLIED GENETICS

Exact post-selection inference, with application to the lasso

(2016) Jason D. Lee et al.   ANNALS OF STATISTICS

Multivariate and multiple permutation tests

(2016) EunYi Chung et al.   JOURNAL OF ECONOMETRICS

Exact Post-Selection Inference for Sequential Regression Procedures

(2016) Ryan J. Tibshirani et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Controlling the false discovery rate via knockoffs

(2015) Rina Foygel Barber et al.   ANNALS OF STATISTICS

On asymptotically optimal confidence regions and tests for high-dimensional models

(2014) Sara van de Geer et al.   ANNALS OF STATISTICS

Valid post-selection inference

(2013) Richard Berk et al.   ANNALS OF STATISTICS

Stability

(2013) Bin Yu   BERNOULLI

Confidence intervals for low dimensional parameters in high dimensional linear models

(2013) Cun-Hui Zhang et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The lasso problem and uniqueness

(2013) Ryan J. Tibshirani   Electronic Journal of Statistics

Estimating False Discovery Proportion Under Arbitrary Covariance Dependence

(2012) Jianqing Fan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

High-dimensional variable selection

(2009) Larry Wasserman et al.   ANNALS OF STATISTICS

Lasso-type recovery of sparse representations for high-dimensional data

(2009) Nicolai Meinshausen et al.   ANNALS OF STATISTICS

High-dimensional generalized linear models and the lasso

(2008) Sara A. van de Geer   ANNALS OF STATISTICS

The sparsity and bias of the Lasso selection in high-dimensional linear regression

(2008) Cun-Hui Zhang et al.   ANNALS OF STATISTICS