Spatially relaxed inference on high-dimensional linear models

Spatially relaxed inference on high-dimensional linear models

4 June 2021

Jérôme-Alexis Chevalier

Tuan-Binh Nguyen

Bertrand Thirion

Papers citing "Spatially relaxed inference on high-dimensional linear models"

13 / 13 papers shown

Title
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 73 64 0 27 Jul 2020
Aggregation of Multiple Knockoffs Tuan-Binh Nguyen Jérôme-Alexis Chevalier Bertrand Thirion Sylvain Arlot 70 21 0 21 Feb 2020
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression Eugène Ndiaye Olivier Fercoq Alexandre Gramfort V. Leclère Joseph Salmon 55 28 0 08 Jun 2016
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 141 305 0 30 Dec 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 216 749 0 22 Apr 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 215 732 0 25 Nov 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 221 767 0 13 Jun 2013
Valid post-selection inference R. Berk L. Brown A. Buja Kai Zhang Linda H. Zhao 232 585 0 05 Jun 2013
Correlated variables in regression: clustering and sparse estimation Peter Buhlmann Philipp Rutimann Sara van de Geer Cun-Hui Zhang 202 182 0 26 Sep 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 182 229 0 07 Feb 2012
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 112 440 0 13 Nov 2008
Bolasso: model consistent Lasso estimation through the bootstrap Francis R. Bach 81 450 0 08 Apr 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 553 582 0 09 Apr 2007

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