A projection pursuit framework for testing general high-dimensional hypothesis

2 May 2017

Papers citing "A projection pursuit framework for testing general high-dimensional hypothesis"

24 / 24 papers shown

Title
Simultaneous Inference for High-dimensional Linear Models Xianyang Zhang Guang Cheng 50 134 0 03 Mar 2016
Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework A. Belloni Victor Chernozhukov Denis Chetverikov Ying Wei 39 75 0 23 Dec 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 68 196 0 11 Aug 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 152 185 0 18 Jun 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 90 305 0 30 Dec 2014
Central Limit Theorems and Bootstrap in High Dimensions Victor Chernozhukov Denis Chetverikov Kengo Kato 64 312 0 11 Dec 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 177 746 0 22 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 78 27 0 17 Apr 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 93 37 0 19 Dec 2013
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 127 245 0 24 Sep 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 200 1,401 0 27 May 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 163 1,130 0 03 Mar 2013
On the uniform asymptotic validity of subsampling and the bootstrap Joseph P. Romano A. Shaikh 88 103 0 12 Apr 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 145 229 0 07 Feb 2012
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 145 507 0 24 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 312 1,377 0 13 Oct 2010
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression Jianqing Fan Shaojun Guo Ning Hao 111 292 0 29 Apr 2010
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 155 402 0 06 Oct 2009
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 308 869 0 07 Aug 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 261 879 0 01 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 453 755 0 04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 365 2,527 0 07 Jan 2008
Sparsity oracle inequalities for the Lasso F. Bunea Alexandre B. Tsybakov M. Wegkamp 371 470 0 23 May 2007