A significance test for the lasso

30 January 2013

Papers citing "A significance test for the lasso"

35 / 35 papers shown

Title
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 49 0 0 24 Mar 2025
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun P. Rebentrost Tushar Vaidya 37 1 0 21 Dec 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 13 0 0 14 Jul 2023
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine Amanda M. Buch C. Liston L. Grosenick 18 0 0 29 Nov 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides A. Quiros N. Coudray A. Yeaton Xinyu Yang Bojing Liu ... H. Pass A. Moreira J. L. Quesne A. Tsirigos Ke-Fei Yuan SSL 13 5 0 04 May 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 23 33 0 11 May 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation Toshiaki Tsukurimichi Yu Inatsu Vo Nguyen Le Duy Ichiro Takeuchi 34 22 0 22 Apr 2021
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 26 33 0 21 Jul 2020
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 19 49 0 15 Jun 2020
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 26 5 0 16 Dec 2019
Finite sample improvement of Akaike's Information Criterion Adrien Saumard F. Navarro 6 3 0 06 Mar 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
Network classification with applications to brain connectomics Jesús D Arroyo Relión Daniel A Kessler Elizaveta Levina S. Taylor 16 74 0 27 Jan 2017
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? R. Tibshirani Saharon Rosset 11 20 0 30 Dec 2016
Marginal false discovery rates for penalized regression models P. Breheny 20 28 0 19 Jul 2016
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 14 105 0 29 Mar 2016
Simultaneous Inference for High-dimensional Linear Models Xianyang Zhang Guang Cheng 11 133 0 03 Mar 2016
A Minimax Theory for Adaptive Data Analysis Yu-Xiang Wang Jing Lei S. Fienberg 23 18 0 13 Feb 2016
Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model Elsa Siggiridou D. Kugiumtzis CML 24 97 0 11 Nov 2015
False Discoveries Occur Early on the Lasso Path Weijie Su M. Bogdan Emmanuel Candes 24 180 0 05 Nov 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection R. Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 27 104 0 20 Jun 2015
Selective inference with unknown variance via the square-root LASSO Xiaoying Tian Joshua R. Loftus Jonathan E. Taylor 35 38 0 29 Apr 2015
Adaptive Concentration of Regression Trees, with Application to Random Forests Stefan Wager G. Walther 22 25 0 22 Mar 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
A sequential rejection testing method for high-dimensional regression with correlated variables Jacopo Mandozzi Peter Buhlmann 39 10 0 11 Feb 2015
Asymptotics of selective inference Xiaoying Tian Jonathan E. Taylor 29 68 0 15 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality Zhaoran Wang Quanquan Gu Y. Ning Han Liu 30 53 0 30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 33 43 0 30 Dec 2014
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model Ethan X. Fang Y. Ning Han Liu 31 71 0 16 Dec 2014
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
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 29 332 0 09 Oct 2014
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection Jeremy A. Sabourin W. Valdar A. Nobel 28 35 0 08 Apr 2014
Collaborative Regression Samuel M. Gross Robert Tibshirani 36 57 0 22 Jan 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 104 160 0 17 Jan 2013
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 123 216 0 02 Jan 2008