Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

13 June 2013

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

50 / 293 papers shown

Title
Nonparametric Inference via Bootstrapping the Debiased Estimator Yen-Chi Chen Yen-Chi Chen 11 22 0 22 Feb 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores Jelena Bradic Mladen Kolar 24 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 15 9 0 09 Feb 2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes Abhishek Chakrabortty Matey Neykov Ray Carroll Tianxi Cai 18 2 0 18 Jan 2017
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models Pan Xu Lu Tian Quanquan Gu FedML 21 7 0 29 Dec 2016
Testing Bayesian Networks C. Canonne Ilias Diakonikolas D. Kane Alistair Stewart TPM 22 69 0 09 Dec 2016
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo Larry A. Wasserman M. G'Sell Jing Lei 32 92 0 16 Nov 2016
Statistical Inference for Model Parameters in Stochastic Gradient Descent Xi Chen Jason D. Lee Xin T. Tong Yichen Zhang 14 136 0 27 Oct 2016
Estimator Augmentation with Applications in High-Dimensional Group Inference Qing Zhou Seunghyun Min 24 3 0 27 Oct 2016
Communication-efficient Distributed Sparse Linear Discriminant Analysis Lu Tian Quanquan Gu 22 22 0 15 Oct 2016
Two-sample testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 19 9 0 14 Oct 2016
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 38 84 0 10 Oct 2016
Significance testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 51 31 0 07 Oct 2016
Testing Endogeneity with High Dimensional Covariates Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 31 24 0 21 Sep 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 35 15 0 06 Aug 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 40 117 0 22 Jul 2016
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs Miles E. Lopes 27 14 0 04 Jul 2016
Provable Algorithms for Inference in Topic Models Sanjeev Arora Rong Ge Frederic Koehler Tengyu Ma Ankur Moitra 4 29 0 27 May 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 40 151 0 25 May 2016
Optimal Estimation of Co-heritability in High-dimensional Linear Models Zijian Guo Wanjie Wang T. Tony Cai Hongzhe Li TPM 10 8 0 24 May 2016
Efficient Distributed Estimation of Inverse Covariance Matrices Jesús Arroyo Elizabeth Hou 23 8 0 03 May 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 37 387 0 25 Apr 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 26 818 0 14 Apr 2016
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 22 105 0 29 Mar 2016
Statistical inference in sparse high-dimensional additive models Karl B. Gregory E. Mammen Martin Wahl 35 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 30 118 0 16 Mar 2016
Bias Correction for Regularized Regression and its Application in Learning with Streaming Data Qiang Wu 11 0 0 15 Mar 2016
Simultaneous Inference for High-dimensional Linear Models Xianyang Zhang Guang Cheng 28 133 0 03 Mar 2016
A knockoff filter for high-dimensional selective inference Rina Foygel Barber Emmanuel J. Candes 14 177 0 10 Feb 2016
Semi-parametric efficiency bounds for high-dimensional models Jana Janková Sara van de Geer 17 42 0 05 Jan 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky Gaël Varoquaux Matthew B. Blaschko 9 64 0 29 Dec 2015
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models Junwei Lu Mladen Kolar Han Liu 25 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 18 75 0 23 Dec 2015
Analysis of Testing-Based Forward Model Selection Damian Kozbur 37 9 0 08 Dec 2015
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 14 185 0 16 Nov 2015
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 30 46 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 34 77 0 30 Oct 2015
High dimensional regression and matrix estimation without tuning parameters S. Chatterjee 28 4 0 25 Oct 2015
Distributed Multitask Learning Jialei Wang Mladen Kolar Nathan Srebro 11 74 0 02 Oct 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 35 83 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 17 53 0 09 Sep 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 32 196 0 11 Aug 2015
Selective inference with a randomized response Xiaoying Tian Jonathan E. Taylor 22 149 0 24 Jul 2015
Uniformly Valid Confidence Sets Based on the Lasso K. Ewald U. Schneider 33 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 30 26 0 16 Jul 2015
Honest confidence regions and optimality in high-dimensional precision matrix estimation Jana Janková Sara van de Geer 59 74 0 08 Jul 2015
Uncertainty Quantification Under Group Sparsity Qing Zhou Seunghyun Min 20 3 0 05 Jul 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 43 184 0 18 Jun 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 35 176 0 15 Jun 2015
Inference of high-dimensional linear models with time-varying coefficients Xiaohui Chen Yifeng He 47 9 0 12 Jun 2015