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On asymptotically optimal confidence regions and tests for high-dimensional models

3 March 2013

Papers citing "On asymptotically optimal confidence regions and tests for high-dimensional models"

36 / 386 papers shown

Title
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 105 43 0 30 Dec 2014
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 114 32 0 30 Dec 2014
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 99 22 0 24 Dec 2014
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model Ethan X. Fang Y. Ning Han Liu 103 72 0 16 Dec 2014
Valid uncertainty quantification about the model in a linear regression setting Ryan Martin Huiping Xu Zuoyi Zhang Chuanhai Liu 58 3 0 16 Dec 2014
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations Hai Shu B. Nan 437 21 0 16 Dec 2014
Valid confidence intervals for post-model-selection predictors François Bachoc Hannes Leeb B. M. Potscher 124 54 0 15 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 120 46 0 13 Dec 2014
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 110 36 0 06 Dec 2014
Asymptotically Honest Confidence Regions for High Dimensional Parameters by the Desparsified Conservative Lasso Mehmet Caner Anders Bredahl Kock 102 70 0 15 Oct 2014
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 311 335 0 09 Oct 2014
Statistical Theory for High-Dimensional Models Sara van de Geer 85 12 0 30 Sep 2014
Rejoinder: "A significance test for the lasso" R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 64 9 0 27 May 2014
Discussion: "A significance test for the lasso" Peter Buhlmann L. Meier Sara van de Geer 46 3 0 27 May 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 271 752 0 22 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 105 27 0 17 Apr 2014
Worst possible sub-directions in high-dimensional models Sara van de Geer 128 11 0 27 Mar 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 165 187 0 26 Mar 2014
Exact Post Model Selection Inference for Marginal Screening Jason D. Lee Jonathan E. Taylor 158 101 0 23 Feb 2014
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation Qing Zhou 114 16 0 17 Jan 2014
Inference in High Dimensions with the Penalized Score Test Arend Voorman Ali Shojaie Daniela Witten 120 35 0 12 Jan 2014
Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models A. Belloni Victor Chernozhukov Kengo Kato 150 62 0 27 Dec 2013
Hierarchical Testing in the High-Dimensional Setting with Correlated Variables Jacopo Mandozzi Peter Buhlmann 124 37 0 19 Dec 2013
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions Jian Huang Shuangge Ma Cun-Hui Zhang Yong Zhou 100 6 0 29 Nov 2013
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 234 737 0 25 Nov 2013
Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 129 27 0 01 Nov 2013
On the uniform convergence of empirical norms and inner products, with application to causal inference Sara van de Geer 125 37 0 21 Oct 2013
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 194 247 0 24 Sep 2013
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations M. Farrell 366 343 0 18 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 302 769 0 13 Jun 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition Adel Javanmard Andrea Montanari 123 21 0 02 May 2013
Post-Selection Inference for Generalized Linear Models with Many Controls A. Belloni Victor Chernozhukov Ying Wei 178 191 0 15 Apr 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 287 659 0 30 Jan 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 223 161 0 17 Jan 2013
Confidence sets in sparse regression Richard Nickl Sara van de Geer 138 111 0 07 Sep 2012
Finite sample posterior concentration in high-dimensional regression Nate Strawn Artin Armagan Rayan Saab Lawrence Carin David B. Dunson 129 5 0 20 Jul 2012