Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression

1 November 2013

Papers citing "Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression"

9 / 9 papers shown

Title
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 168 766 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 167 1,130 0 03 Mar 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 146 161 0 17 Jan 2013
The Lasso Problem and Uniqueness Robert Tibshirani 150 550 0 01 Jun 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 147 229 0 07 Feb 2012
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 147 507 0 24 Apr 2011
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 130 672 0 28 Sep 2010
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 102 2,352 0 21 Jul 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 378 2,527 0 07 Jan 2008