Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

13 June 2013

Papers citing "Confidence Intervals and Hypothesis Testing for High-Dimensional Regression"

43 / 293 papers shown

Title
Inferring Graphs from Cascades: A Sparse Recovery Framework Jean Pouget-Abadie Thibaut Horel 80 50 0 21 May 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems Alexandra Carpentier Jens Eisert David Gross Richard Nickl 25 19 0 13 Apr 2015
Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables Damian Kozbur CML 46 12 0 18 Mar 2015
Communication-efficient sparse regression: a one-shot approach Jason D. Lee Yuekai Sun Qiang Liu Jonathan E. Taylor 43 65 0 14 Mar 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 30 23 0 10 Mar 2015
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models Rina Foygel Barber Mladen Kolar 35 46 0 26 Feb 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution Alexandra Carpentier Arlene K. H. Kim 33 15 0 16 Feb 2015
A sequential rejection testing method for high-dimensional regression with correlated variables Jacopo Mandozzi Peter Buhlmann 47 10 0 11 Feb 2015
Local and Global Inference for High Dimensional Nonparanormal Graphical Models Quanquan Gu Yuanbin Cao Y. Ning Han Liu 35 19 0 09 Feb 2015
High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso S. Adhikari F. Lecci J. Becker B. Junker L. Kuller O. Lopez Robert Tibshirani 26 13 0 29 Jan 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 47 173 0 14 Jan 2015
Uniform Inference in High-dimensional Dynamic Panel Data Models Anders Bredahl Kock Haihan Tang 48 24 0 02 Jan 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 36 303 0 30 Dec 2014
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality Zhaoran Wang Quanquan Gu Y. Ning Han Liu 43 53 0 30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 39 43 0 30 Dec 2014
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 41 32 0 30 Dec 2014
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 62 22 0 24 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 62 46 0 13 Dec 2014
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 44 35 0 06 Dec 2014
High-Dimensional Semiparametric Selection Models: Estimation Theory with an Application to the Retail Gasoline Market Ying Zhu 44 1 0 04 Nov 2014
Asymptotically Honest Confidence Regions for High Dimensional Parameters by the Desparsified Conservative Lasso Mehmet Caner Anders Bredahl Kock 48 70 0 15 Oct 2014
Minimax Estimation of Functionals of Discrete Distributions Jiantao Jiao K. Venkat Yanjun Han Tsachy Weissman 38 243 0 26 Jun 2014
Rejoinder: "A significance test for the lasso" R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 28 9 0 27 May 2014
Discussion: "A significance test for the lasso" Peter Buhlmann L. Meier Sara van de Geer 32 3 0 27 May 2014
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach S. Tajbakhsh N. Aybat E. Castillo 49 10 0 21 May 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 46 742 0 22 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 54 27 0 17 Apr 2014
High-dimensional genome-wide association study and misspecified mixed model analysis Jiming Jiang Cong Li D. Paul Can Yang Hongyu Zhao 26 8 0 09 Apr 2014
Worst possible sub-directions in high-dimensional models Sara van de Geer 51 11 0 27 Mar 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 78 185 0 26 Mar 2014
Exact Post Model Selection Inference for Marginal Screening Jason D. Lee Jonathan E. Taylor 52 100 0 23 Feb 2014
Inference in High Dimensions with the Penalized Score Test Arend Voorman Ali Shojaie Daniela Witten 38 35 0 12 Jan 2014
Hierarchical Testing in the High-Dimensional Setting with Correlated Variables Jacopo Mandozzi Peter Buhlmann 60 37 0 19 Dec 2013
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 62 722 0 25 Nov 2013
Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 43 27 0 01 Nov 2013
A Global Homogeneity Test for High-Dimensional Linear Regression Camille Charbonnier Nicolas Verzélen Fanny Villers 56 4 0 16 Aug 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 48 1,125 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 84 656 0 30 Jan 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 120 160 0 17 Jan 2013
Confidence sets in sparse regression Richard Nickl Sara van de Geer 58 111 0 07 Sep 2012
Finite sample posterior concentration in high-dimensional regression Nate Strawn Artin Armagan Rayan Saab Lawrence Carin David B. Dunson 53 5 0 20 Jul 2012
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 139 216 0 02 Jan 2008