Simultaneous Inference for High-dimensional Linear Models

3 March 2016

Papers citing "Simultaneous Inference for High-dimensional Linear Models"

20 / 20 papers shown

Title
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 41 0 0 14 Jul 2023
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 55 2 0 17 Aug 2020
A projection pursuit framework for testing general high-dimensional hypothesis Yinchu Zhu Jelena Bradic 42 13 0 02 May 2017
Worst possible sub-directions in high-dimensional models Sara van de Geer 85 11 0 27 Mar 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 106 187 0 26 Mar 2014
Hierarchical Testing in the High-Dimensional Setting with Correlated Variables Jacopo Mandozzi Peter Buhlmann 85 37 0 19 Dec 2013
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 174 730 0 25 Nov 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 156 766 0 13 Jun 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 156 1,130 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 203 658 0 30 Jan 2013
Comparison and anti-concentration bounds for maxima of Gaussian random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 92 224 0 21 Jan 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 89 506 0 31 Dec 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 115 169 0 13 Feb 2012
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 143 507 0 24 Apr 2011
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 118 672 0 28 Sep 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons Nicolas Verzélen 215 152 0 03 Aug 2010
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism E. Arias-Castro Emmanuel J. Candès Y. Plan 73 210 0 08 Jul 2010
A two-sample test for high-dimensional data with applications to gene-set testing Songxi Chen Yingli Qin 76 577 0 24 Feb 2010
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 112 440 0 13 Nov 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 337 579 0 09 Apr 2007