A high-dimensional power analysis of the conditional randomization test and knockoffs

Fast and Powerful Conditional Randomization Testing via Distillation

(2021) Molei Liu et al.   BIOMETRIKA

False discovery rate control in genome-wide association studies with population structure

(2021) Matteo Sesia et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Metropolized Knockoff Sampling

(2020) Stephen Bates et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Which bridge estimator is the best for variable selection?

(2020) Shuaiwen Wang et al.   ANNALS OF STATISTICS

Relaxing the assumptions of knockoffs by conditioning

(2020) Dongming Huang et al.   ANNALS OF STATISTICS

Causal inference in genetic trio studies

(2020) Stephen Bates et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multilayer knockoff filter: Controlled variable selection at multiple resolutions

(2019) Eugene Katsevich et al.   Annals of Applied Statistics

A modern maximum-likelihood theory for high-dimensional logistic regression

(2019) Pragya Sur et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IPAD: Stable Interpretable Forecasting with Knockoffs Inference

(2019) Yingying Fan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The conditional permutation test for independence while controlling for confounders

(2019) Thomas B. Berrett et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

OUP accepted manuscript

(2018)   BIOMETRIKA

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

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

AdaPT: an interactive procedure for multiple testing with side information

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

Debiasing the lasso: Optimal sample size for Gaussian designs

(2018) Adel Javanmard et al.   ANNALS OF STATISTICS

Overcoming the limitations of phase transition by higher order analysis of regularization techniques

(2018) Haolei Weng et al.   ANNALS OF STATISTICS

Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible

(2014) Paul J. McMurdie et al.   PLoS Computational Biology

The LASSO Risk for Gaussian Matrices

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY