Statistical significance in high-dimensional linear models

7 February 2012

Papers citing "Statistical significance in high-dimensional linear models"

23 / 23 papers shown

Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 24 0 0 13 May 2025
Variable Importance in High-Dimensional Settings Requires Grouping Ahmad Chamma Bertrand Thirion D. Engemann 41 3 0 18 Dec 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting Jonathan B. Hill 31 0 0 22 Jan 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models Yanmei Shi Zhiruo Li Q. Zhang 18 0 0 17 Oct 2022
Correcting Confounding via Random Selection of Background Variables You-Lin Chen Lenon Minorics Dominik Janzing CML 27 4 0 04 Feb 2022
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes Xu Wang Ali Shojaie CML 3DPC 31 2 0 22 Sep 2021
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 26 5 0 16 Dec 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei-Yue Wang Ling Zhou Lu Tang P. Song 20 4 0 04 Aug 2019
Solving graph compression via optimal transport Vikas K. Garg Tommi Jaakkola OT 18 16 0 29 May 2019
On the dimension effect of regularized linear discriminant analysis Cheng-Long Wang Binyan Jiang 20 15 0 09 Oct 2017
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii Yuting Wei Martin J. Wainwright Adityanand Guntuboyina 23 21 0 20 Mar 2017
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 31 24 0 01 Aug 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo R. Tibshirani Larry A. Wasserman 26 812 0 14 Apr 2016
Uniform Asymptotic Inference and the Bootstrap After Model Selection R. Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 29 104 0 20 Jun 2015
Inference of high-dimensional linear models with time-varying coefficients Xiaohui Chen Yifeng He 42 9 0 12 Jun 2015
A sequential rejection testing method for high-dimensional regression with correlated variables Jacopo Mandozzi Peter Buhlmann 42 10 0 11 Feb 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 39 46 0 13 Dec 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 46 27 0 17 Apr 2014
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 46 1,123 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor R. Tibshirani Robert Tibshirani 61 656 0 30 Jan 2013
Estimation in high-dimensional linear models with deterministic design matrices J. Shao Xinwei Deng 45 76 0 05 Jun 2012
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008