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
Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi Ruoyu Wang Zhi-Ming Ma 22 2 0 04 Dec 2020
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders Yuhao Wang Rajen Dinesh Shah 108 15 0 17 Nov 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 30 17 0 15 Nov 2020
High-Dimensional Sparse Linear Bandits Botao Hao Tor Lattimore Mengdi Wang 6 60 0 08 Nov 2020
Design of $c$ -Optimal Experiments for High dimensional Linear Models Hamid Eftekhari Moulinath Banerjee Yaácov Ritov 31 2 0 23 Oct 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso Jérôme-Alexis Chevalier Alexandre Gramfort Joseph Salmon Bertrand Thirion 55 10 0 29 Sep 2020
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap Yunyi Zhang D. Politis 16 12 0 17 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data Y. Ning Sida Peng Jing Tao 19 5 0 07 Sep 2020
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction Oren Yuval Saharon Rosset 8 3 0 01 Sep 2020
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 34 2 0 17 Aug 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 49 63 0 27 Jul 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 38 33 0 21 Jul 2020
Causal Feature Selection via Orthogonal Search Ashkan Soleymani Anant Raj Stefan Bauer Bernhard Schölkopf M. Besserve CML 20 17 0 06 Jul 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 18 23 0 15 Jun 2020
The leave-one-covariate-out conditional randomization test Eugene Katsevich Aaditya Ramdas CML 25 2 0 15 Jun 2020
Detangling robustness in high dimensions: composite versus model-averaged estimation Jing Zhou G. Claeskens Jelena Bradic 6 3 0 12 Jun 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding Zijian Guo Domagoj Cevid Peter Buhlmann CML 22 37 0 08 Apr 2020
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing Yining Wang Xi Chen Xiangyu Chang Dongdong Ge 27 15 0 16 Mar 2020
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance Qian Zhao Pragya Sur Emmanuel J. Candès 24 35 0 25 Jan 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 29 25 0 30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 56 21 0 27 Dec 2019
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 39 20 0 26 Dec 2019
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 37 5 0 16 Dec 2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework Abhishek Chakrabortty Jiarui Lu T. Tony Cai Hongzhe Li 14 6 0 26 Nov 2019
Integrative Factor Regression and Its Inference for Multimodal Data Analysis Quefeng Li Lexin Li 17 26 0 11 Nov 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 39 31 0 04 Nov 2019
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference T. Tony Cai Anru R. Zhang Yuchen Zhou 11 25 0 21 Sep 2019
Inference In High-dimensional Single-Index Models Under Symmetric Designs Hamid Eftekhari Moulinath Banerjee Yaácov Ritov 13 2 0 08 Sep 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion Dong Xia M. Yuan 42 41 0 31 Aug 2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix Jianqing Fan Haolei Weng Yifeng Zhou 34 7 0 20 Aug 2019
Goodness-of-fit testing in high-dimensional generalized linear models Jana Janková Rajen Dinesh Shah Peter Buhlmann R. Samworth 22 30 0 09 Aug 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei Wang Ling Zhou Lu Tang P. Song 27 4 0 04 Aug 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 18 2 0 30 Jul 2019
LassoNet: A Neural Network with Feature Sparsity Ismael Lemhadri Feng Ruan L. Abraham Robert Tibshirani 45 122 0 29 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates Jue Hou Jelena Bradic R. Xu CML 30 1 0 29 Jun 2019
Multiple Testing and Variable Selection along the path of the Least Angle Regression Jean-marc Azais Yohann De Castro 17 1 0 28 Jun 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 33 71 0 13 Jun 2019
Inference robust to outliers with l1-norm penalization Jad Beyhum 14 1 0 04 Jun 2019
Sparsity Double Robust Inference of Average Treatment Effects Jelena Bradic Stefan Wager Yinchu Zhu CML 25 39 0 02 May 2019
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models Tianxi Cai Tony Cai Zijian Guo CML LM&MA 26 13 0 29 Apr 2019
Omitted variable bias of Lasso-based inference methods: A finite sample analysis Kaspar Wüthrich Ying Zhu 20 27 0 20 Mar 2019
Inference Without Compatibility Michael Law Yaácov Ritov 19 1 0 14 Mar 2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications P. Combettes Christian L. Müller 21 25 0 04 Mar 2019
De-Biasing The Lasso With Degrees-of-Freedom Adjustment Pierre C. Bellec Cun-Hui Zhang 10 28 0 24 Feb 2019
Honest confidence sets for high-dimensional regression by projection and shrinkage Kun Zhou Ker-Chau Li Qing Zhou 11 4 0 01 Feb 2019
Optimal Sparsity Testing in Linear regression Model Alexandra Carpentier Nicolas Verzélen 16 9 0 25 Jan 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 33 87 0 20 Dec 2018
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations Shanshan Cao X. Huo J. Pang 19 5 0 18 Dec 2018
High Dimensional Linear GMM Mehmet Caner Anders Bredahl Kock 14 7 0 21 Nov 2018
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 20 33 0 09 Nov 2018