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
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 39 0 0 13 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 45 0 0 22 Apr 2025
Fast Debiasing of the LASSO Estimator Shuvayan Banerjee James Saunderson Radhendushka Srivastava Ajit V. Rajwade 56 0 0 27 Feb 2025
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance Yilin Zhang Songshan Yang Y. Wu Lan Wang 71 0 0 19 Nov 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions Zirui Yan A. Tajer CML 40 1 0 04 Nov 2024
Statistical Inference on High Dimensional Gaussian Graphical Regression Models Xuran Meng Jingfei Zhang Yi Li 36 0 0 03 Nov 2024
Statistical Inference in Classification of High-dimensional Gaussian Mixture Hanwen Huang Peng Zeng 22 0 0 25 Oct 2024
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data Alokesh Manna Zijian Huang Dipak K. Dey Yuwen Gu Robin He 32 1 0 01 Oct 2024
Double-Estimation-Friendly Inference for High Dimensional Misspecified Measurement Error Models Shijie Cui Xu Guo Runze Li Songshan Yang Zhe Zhang 23 0 0 24 Sep 2024
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models Huali Zhao Tianying Wang 16 0 0 11 Sep 2024
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications Shuvayan Banerjee Radhendushka Srivastava James Saunderson Ajit V. Rajwade 20 0 0 09 Sep 2024
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization Ziliang Samuel Zhong Shuyang Ling 35 0 0 12 Aug 2024
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks Zhe Fei Yi Li AI4CE 31 1 0 22 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 29 1 0 18 Jul 2024
High-Dimensional Confidence Regions in Sparse MRI Frederik Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 39 5 0 18 Jul 2024
With or Without Replacement? Improving Confidence in Fourier Imaging Frederik Hoppe C. M. Verdun Felix Krahmer Marion I. Menzel Holger Rauhut 21 0 0 18 Jul 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 42 0 0 18 Jun 2024
Task-Agnostic Machine Learning-Assisted Inference J. Miao Qiongshi Lu 32 4 0 30 May 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods Yihan Zhang Marco Mondelli 46 3 0 22 May 2024
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Jingbo Liu 24 0 0 05 May 2024
A replica analysis of under-bagging Takashi Takahashi 81 3 0 15 Apr 2024
Covariance Regression with High-Dimensional Predictors Yuheng He Changliang Zou Yi Zhao 22 0 0 10 Apr 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li OOD 41 6 0 01 Apr 2024
Uniform-over-dimension convergence with application to location tests for high-dimensional data Joydeep Chowdhury S. Dutta M. Genton 25 0 0 24 Mar 2024
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information Shujie Ma Po-Yao Niu Yichong Zhang Yinchu Zhu 19 4 0 22 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 41 1 0 05 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 36 29 0 04 Mar 2024
High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social Media Yuya Sasaki Jing Tao Yulong Wang 32 0 0 02 Mar 2024
Debiased LASSO under Poisson-Gauss Model Pedro Abdalla Gil Kur 18 0 0 26 Feb 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 44 4 0 26 Jan 2024
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 22 2 0 25 Oct 2023
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients Yinan Lin Zijian Guo Baoluo Sun Zhenhua Lin 21 3 0 09 Oct 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference Licong Lin Mufang Ying Suvrojit Ghosh K. Khamaru Cun-Hui Zhang 17 2 0 01 Oct 2023
Uncertainty quantification for learned ISTA Frederik Hoppe C. M. Verdun Felix Krahmer Hannah Laus Holger Rauhut UQCV 39 3 0 14 Sep 2023
Simultaneous inference for generalized linear models with unmeasured confounders Jin-Hong Du Larry Wasserman Kathryn Roeder 24 4 0 13 Sep 2023
Anytime Model Selection in Linear Bandits Parnian Kassraie N. Emmenegger Andreas Krause Aldo Pacchiano 51 2 0 24 Jul 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 29 7 0 24 Jul 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 18 0 0 14 Jul 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning M. Mehrabi Ryan A. Rossi TDI 40 0 0 20 Jun 2023
Distributed Semi-Supervised Sparse Statistical Inference Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 21 1 0 17 Jun 2023
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach Si Cheng J. Wakefield Ali Shojaie 8 0 0 11 Jun 2023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity Lin Liu Yuhao Wang 38 0 0 07 May 2023
Penalized Likelihood Inference with Survey Data J. Jasiak Purevdorj Tuvaandorj 6 2 0 16 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 16 42 0 13 Apr 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 38 1 0 08 Mar 2023
Semi-parametric inference based on adaptively collected data Licong Lin K. Khamaru Martin J. Wainwright OffRL 39 6 0 05 Mar 2023
Communication-Efficient Distributed Estimation and Inference for Cox's Model Pierre Bayle Jianqing Fan Zhipeng Lou 27 1 0 23 Feb 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 63 6 0 25 Jan 2023
RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables Taehyeon Koo Youjin Lee Dylan S. Small Zijian Guo 26 3 0 11 Jan 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 19 2 0 09 Jan 2023