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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
High Dimensional Inference in Partially Linear Models Ying Zhu Zhuqing Yu Guang Cheng 47 12 0 08 Aug 2017
Breaking the curse of dimensionality in regression Yinchu Zhu Jelena Bradic 102 19 0 01 Aug 2017
Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference Jue Hou Jelena Bradic R. Xu 103 0 0 29 Jul 2017
Adaptive Inferential Method for Monotone Graph Invariants Junwei Lu Matey Neykov Han Liu 66 4 0 28 Jul 2017
Asymptotic Confidence Regions for High-dimensional Structured Sparsity Benjamin Stucky Sara van de Geer 59 12 0 28 Jun 2017
Targeted Undersmoothing Christian B. Hansen Damian Kozbur S. Misra 65 13 0 22 Jun 2017
Gene Hunting with Knockoffs for Hidden Markov Models Matteo Sesia C. Sabatti Emmanuel J. Candès 65 138 0 14 Jun 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 101 46 0 07 Jun 2017
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square Pragya Sur Yuxin Chen Emmanuel J. Candès 74 81 0 05 Jun 2017
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 133 50 0 22 May 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 112 58 0 16 May 2017
A projection pursuit framework for testing general high-dimensional hypothesis Yinchu Zhu Jelena Bradic 77 13 0 02 May 2017
A Flexible Framework for Hypothesis Testing in High-dimensions Adel Javanmard Jason D. Lee 115 29 0 26 Apr 2017
Statistical inference for high dimensional regression via Constrained Lasso Yun Yang 33 4 0 17 Apr 2017
Comments on `High-dimensional simultaneous inference with the bootstrap' R. Lockhart R. Samworth SyDa 35 3 0 29 Mar 2017
Sparse Poisson Regression with Penalized Weighted Score Function Jinzhu Jia Fang Xie Lihu Xu 83 16 0 11 Mar 2017
Perturbation Bootstrap in Adaptive Lasso Debraj Das Karl B. Gregory S. Lahiri 69 21 0 09 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables A. Belloni Victor Chernozhukov A. Kaul 92 18 0 01 Mar 2017
Nonparametric Inference via Bootstrapping the Debiased Estimator Yen-Chi Chen Yen-Chi Chen 70 22 0 22 Feb 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores Jelena Bradic Mladen Kolar 79 25 0 20 Feb 2017
Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates Yining Wang Jialei Wang Sivaraman Balakrishnan Aarti Singh 34 9 0 09 Feb 2017
Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models Damian Kozbur 77 5 0 03 Feb 2017
Network classification with applications to brain connectomics Jesús D Arroyo Relión Daniel A Kessler Elizaveta Levina S. Taylor 79 76 0 27 Jan 2017
Delta Theorem in the Age of High Dimensions Mehmet Caner 23 2 0 20 Jan 2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes Abhishek Chakrabortty Matey Neykov Ray Carroll Tianxi Cai 49 2 0 18 Jan 2017
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models Pan Xu Lu Tian Quanquan Gu FedML 54 7 0 29 Dec 2016
A Nodewise Regression Approach to Estimating Large Portfolios Laurent Callot Mehmet Caner Esra Ulaşan A. Onder 40 2 0 22 Nov 2016
ROS Regression: Integrating Regularization and Optimal Scaling Regression J. Meulman A. J. Kooij 26 15 0 16 Nov 2016
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo Larry A. Wasserman M. G'Sell Jing Lei 97 94 0 16 Nov 2016
Uniformly valid confidence intervals post-model-selection François Bachoc David Preinerstorfer Lukas Steinberger 92 49 0 03 Nov 2016
Statistical Inference for Model Parameters in Stochastic Gradient Descent Xi Chen Jason D. Lee Xin T. Tong Yichen Zhang 95 139 0 27 Oct 2016
Estimator Augmentation with Applications in High-Dimensional Group Inference Qing Zhou Seunghyun Min 46 3 0 27 Oct 2016
Communication-efficient Distributed Sparse Linear Discriminant Analysis Lu Tian Quanquan Gu 71 23 0 15 Oct 2016
Two-sample testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 68 9 0 14 Oct 2016
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 180 86 0 10 Oct 2016
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection E. Candès Yingying Fan Lucas Janson Jinchi Lv 157 389 0 07 Oct 2016
Significance testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 117 31 0 07 Oct 2016
Confidence regions for high-dimensional generalized linear models under sparsity Jana Janková Sara van de Geer 63 24 0 05 Oct 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 27 1 0 22 Sep 2016
Testing Endogeneity with High Dimensional Covariates Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 67 23 0 21 Sep 2016
Tensor Graphical Model: Non-convex Optimization and Statistical Inference Xiang Lyu W. Sun Zhaoran Wang Han Liu Jian Yang Guang Cheng CML 55 0 0 15 Sep 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 77 15 0 06 Aug 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 299 117 0 22 Jul 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 94 74 0 07 Jul 2016
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs Miles E. Lopes 61 15 0 04 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 82 7 0 01 Jul 2016
Communication-Efficient Distributed Statistical Inference Michael I. Jordan Jason D. Lee Yun Yang 73 19 0 25 May 2016
Optimal Estimation of Co-heritability in High-dimensional Linear Models Zijian Guo Wanjie Wang T. Tony Cai Hongzhe Li TPM 52 8 0 24 May 2016
Estimation of a Multiplicative Correlation Structure in the Large Dimensional Case C. Hafner O. Linton Haihan Tang 101 7 0 16 May 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 515 390 0 25 Apr 2016