Kernel Knockoffs Selection for Nonparametric Additive Models

Robust inference with knockoffs

(2020) Rina Foygel Barber et al.   ANNALS OF STATISTICS

Deep Knockoffs

(2019) Yaniv Romano et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A knockoff filter for high-dimensional selective inference

(2019) Rina Foygel Barber et al.   ANNALS OF STATISTICS

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

RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs

(2018) Yingying Fan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Brain atrophy in Alzheimer’s Disease and aging

(2016) Lorenzo Pini et al.   AGEING RESEARCH REVIEWS

Minimax optimal rates of estimation in high dimensional additive models

(2016) Ming Yuan et al.   ANNALS OF STATISTICS

A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs

(2016) Jian Kang et al.   NEUROIMAGE

Controlling the false discovery rate via knockoffs

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

Bootstrap inference for network construction with an application to a breast cancer microarray study

(2013) Shuang Li et al.   Annals of Applied Statistics

The effects of aging and Alzheimer's disease on cerebral cortical anatomy: Specificity and differential relationships with cognition

(2013) Akram Bakkour et al.   NEUROIMAGE

Graph analysis of the human connectome: Promise, progress, and pitfalls

(2013) Alex Fornito et al.   NEUROIMAGE

High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

(2012) Po-Ling Loh et al.   ANNALS OF STATISTICS

Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls

(2011) Garvesh Raskutti et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

False Discovery Rate Estimation for Stability Selection: Application to Genome-Wide Association Studies

(2011) Ismaïl Ahmed et al.   Statistical Applications in Genetics and Molecular Biology

Variable selection in nonparametric additive models

(2010) Jian Huang et al.   ANNALS OF STATISTICS

Sparsity in multiple kernel learning

(2010) Vladimir Koltchinskii et al.   ANNALS OF STATISTICS

High-dimensional Ising model selection using ℓ 1 -regularized logistic regression

(2010) Pradeep Ravikumar et al.   ANNALS OF STATISTICS

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

High-dimensional additive modeling

(2009) Lukas Meier et al.   ANNALS OF STATISTICS

Sparse additive models

(2009) Pradeep Ravikumar et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Large-scale multiple testing under dependence

(2008) Wenguang Sun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY