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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"

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Title
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 425 849 0 14 Apr 2016
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 87 107 0 29 Mar 2016
Statistical inference in sparse high-dimensional additive models Karl B. Gregory E. Mammen Martin Wahl 58 6 0 24 Mar 2016
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 111 119 0 16 Mar 2016
Accuracy Assessment for High-dimensional Linear Regression T. Tony Cai Zijian Guo 81 42 0 10 Mar 2016
Simultaneous Inference for High-dimensional Linear Models Xianyang Zhang Guang Cheng 81 135 0 03 Mar 2016
Greedy algorithms for prediction Alessio Sancetta AI4TS 33 21 0 05 Feb 2016
Regularization and the small-ball method I: sparse recovery Guillaume Lecué S. Mendelson 77 93 0 21 Jan 2016
Semi-parametric efficiency bounds for high-dimensional models Jana Janková Sara van de Geer 111 42 0 05 Jan 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky Gaël Varoquaux Matthew B. Blaschko 82 64 0 29 Dec 2015
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models Junwei Lu Mladen Kolar Han Liu 80 27 0 28 Dec 2015
Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework A. Belloni Victor Chernozhukov Denis Chetverikov Ying Wei 92 75 0 23 Dec 2015
Analysis of Testing-Based Forward Model Selection Damian Kozbur 119 9 0 08 Dec 2015
Optimal inference in a class of regression models Timothy B. Armstrong M. Kolesár 441 127 0 19 Nov 2015
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 98 193 0 16 Nov 2015
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 108 43 0 14 Nov 2015
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 106 47 0 10 Nov 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 100 77 0 30 Oct 2015
High dimensional regression and matrix estimation without tuning parameters S. Chatterjee 74 4 0 25 Oct 2015
Distributed Multitask Learning Jialei Wang Mladen Kolar Nathan Srebro 67 74 0 02 Oct 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 90 83 0 17 Sep 2015
Graph Estimation for Matrix-variate Gaussian Data Xinyu Chen Weidong Liu 36 14 0 17 Sep 2015
Statistical Inference, Learning and Models in Big Data B. Franke Jean‐François Plante R. Roscher Annie Lee Cathal Smyth ... A. Selvitella Michael M. Hoffman Roger C. Grosse Dieter Hendricks Nancy Reid AI4CE 371 53 0 09 Sep 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 153 196 0 11 Aug 2015
Selective inference with a randomized response Xiaoying Tian Jonathan E. Taylor 149 153 0 24 Jul 2015
Uniformly Valid Confidence Sets Based on the Lasso K. Ewald U. Schneider 83 12 0 19 Jul 2015
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis Alireza Sheikhattar J. Fritz S. Shamma B. Babadi 52 26 0 16 Jul 2015
Honest confidence regions and optimality in high-dimensional precision matrix estimation Jana Janková Sara van de Geer 120 75 0 08 Jul 2015
Uncertainty Quantification Under Group Sparsity Qing Zhou Seunghyun Min 62 3 0 05 Jul 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection Robert Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 198 105 0 20 Jun 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 232 185 0 18 Jun 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 98 181 0 15 Jun 2015
Achieving Optimal Misclassification Proportion in Stochastic Block Model Chao Gao Zongming Ma A. Zhang Harrison H. Zhou 378 235 0 14 May 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems Alexandra Carpentier Jens Eisert David Gross Richard Nickl 60 20 0 13 Apr 2015
Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables Damian Kozbur CML 84 12 0 18 Mar 2015
Communication-efficient sparse regression: a one-shot approach Jason D. Lee Yuekai Sun Qiang Liu Jonathan E. Taylor 120 66 0 14 Mar 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 107 23 0 10 Mar 2015
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models Rina Foygel Barber Mladen Kolar 109 47 0 26 Feb 2015
$χ^2$ -confidence sets in high-dimensional regression Sara van de Geer Benjamin Stucky 52 0 0 25 Feb 2015
On Online Control of False Discovery Rate Adel Javanmard Andrea Montanari 91 40 0 22 Feb 2015
An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution Alexandra Carpentier Arlene K. H. Kim 67 15 0 16 Feb 2015
A sequential rejection testing method for high-dimensional regression with correlated variables Jacopo Mandozzi Peter Buhlmann 79 10 0 11 Feb 2015
Local and Global Inference for High Dimensional Nonparanormal Graphical Models Quanquan Gu Yuanbin Cao Y. Ning Han Liu 100 20 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 50 13 0 29 Jan 2015
Implementable confidence sets in high dimensional regression Alexandra Carpentier 73 4 0 19 Jan 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 238 176 0 14 Jan 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 218 975 0 06 Jan 2015
Uniform Inference in High-dimensional Dynamic Panel Data Models Anders Bredahl Kock Haihan Tang 89 24 0 02 Jan 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 227 305 0 30 Dec 2014
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality Zhaoran Wang Quanquan Gu Y. Ning Han Liu 188 53 0 30 Dec 2014