A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs

4 July 2016

Papers citing "A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs"

8 / 8 papers shown

Title
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 215 733 0 25 Nov 2013
Rates of convergence of the Adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap A. Chatterjee S. Lahiri 70 97 0 08 Jul 2013
Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression Hanzhong Liu Bin Yu 88 88 0 24 Jun 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 252 768 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 216 1,131 0 03 Mar 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 191 161 0 17 Jan 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 166 507 0 31 Dec 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 203 229 0 07 Feb 2012