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
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 34 7 0 30 Dec 2022
Retire: Robust Expectile Regression in High Dimensions Rebeka Man Kean Ming Tan Zian Wang Wen-Xin Zhou 20 8 0 11 Dec 2022
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data Siqi Liang F. Liang 16 0 0 08 Dec 2022
Residual Permutation Test for High-Dimensional Regression Coefficient Testing Kaiyue Wen Tengyao Wang Yuhao Wang 33 2 0 29 Nov 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 29 7 0 27 Nov 2022
Testing Heteroskedasticity in High-Dimensional Linear Regression Akira Shinkyu 21 1 0 31 Oct 2022
Prediction Sets for High-Dimensional Mixture of Experts Models Adel Javanmard S. Shao Jacob Bien 37 5 0 30 Oct 2022
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 50 3 0 27 Oct 2022
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits Kyoungseok Jang Chicheng Zhang Kwang-Sung Jun 45 14 0 25 Oct 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 18 1 0 20 Oct 2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples P. Wang Min-ge Xie Linjun Zhang 45 5 0 19 Sep 2022
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series Sagnik Halder George Michailidis AI4TS 13 0 0 19 Sep 2022
Advertising Media and Target Audience Optimization via High-dimensional Bandits Wenjia Ba J. Harrison Harikesh S. Nair 16 0 0 17 Sep 2022
Majority Vote for Distributed Differentially Private Sign Selection Weidong Liu Jiyuan Tu Xiaojun Mao Xinyu Chen FedML 31 1 0 08 Sep 2022
Local Projection Inference in High Dimensions R. Adámek Stephan Smeekes Ines Wilms 35 3 0 07 Sep 2022
Small Tuning Parameter Selection for the Debiased Lasso Akira Shinkyu N. Sueishi 13 1 0 18 Aug 2022
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data Emadaldin Mozafari-Majd V. Koivunen 27 4 0 17 Aug 2022
High Dimensional Generalised Penalised Least Squares Ilias Chronopoulos Katerina Chrysikou G. Kapetanios 38 2 0 14 Jul 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 37 0 0 13 Jul 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions Changgee Chang Zhiqi Bu Q. Long 14 6 0 01 Jul 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh Duc Nguyen Bertrand Thirion Sylvain Arlot 11 6 0 29 May 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 36 28 0 19 May 2022
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression Ziang Niu Yuwen Gu Wei Li CML 38 2 0 31 Mar 2022
Asymptotic normality in linear regression with approximately sparse structure Saulius Jokubaitis R. Leipus 32 1 0 08 Mar 2022
Private High-Dimensional Hypothesis Testing Shyam Narayanan FedML 44 11 0 03 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 54 23 0 02 Mar 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 47 6 0 01 Feb 2022
Estimation and Inference with Proxy Data and its Genetic Applications Sai Li T. Tony Cai Hongzhe Li 22 3 0 11 Jan 2022
High-dimensional inference via hybrid orthogonalization Yang Li Zemin Zheng Jia Zhou Ziwei Zhu 22 1 0 26 Nov 2021
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic Z. Fei Y. Ryeznik O. Sverdlov C. Tan Weng Kee Wong 32 20 0 25 Nov 2021
Inference in high-dimensional online changepoint detection Yudong Chen Tengyao Wang R. Samworth 39 4 0 02 Nov 2021
Uncertainty quantification in the Bradley-Terry-Luce model Chao Gao Yandi Shen A. Zhang 39 22 0 08 Oct 2021
Lagrangian Inference for Ranking Problems Yue Liu Ethan X. Fang Junwei Lu BDL FedML 20 17 0 01 Oct 2021
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models Prabrisha Rakshit Zhenyu Wang T. Tony Cai Zijian Guo 14 6 0 07 Sep 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data Lan Luo Ruijian Han Yuanyuan Lin Jian Huang 22 6 0 10 Aug 2021
Test of Significance for High-dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference Huijie Feng Jingyi Duan Y. Ning Jiwei Zhao 14 1 0 09 Aug 2021
Inference for Heteroskedastic PCA with Missing Data Yuling Yan Yuxin Chen Jianqing Fan 47 16 0 26 Jul 2021
Inference for High Dimensional Censored Quantile Regression Z. Fei Qi Zheng H. Hong Yi Li 11 15 0 22 Jul 2021
Chi-square and normal inference in high-dimensional multi-task regression Pierre C. Bellec Gabriel Romon 37 3 0 16 Jul 2021
Asymptotic normality of robust $M$ -estimators with convex penalty Pierre C. Bellec Yiwei Shen Cun-Hui Zhang 11 11 0 08 Jul 2021
Inference in High-dimensional Linear Regression Heather S. Battey Nancy Reid 26 4 0 22 Jun 2021
Spatially relaxed inference on high-dimensional linear models Jérôme-Alexis Chevalier Tuan-Binh Nguyen Bertrand Thirion Joseph Salmon 33 1 0 04 Jun 2021
Information Directed Sampling for Sparse Linear Bandits Botao Hao Tor Lattimore Wei Deng 25 19 0 29 May 2021
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters Niloofar Moosavi J. Haggstrom X. de Luna 32 14 0 05 May 2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction Jue Hou Zijian Guo Tianxi Cai 16 14 0 04 May 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling Zijian Guo CML 29 13 0 14 Apr 2021
Divide-and-conquer methods for big data analysis Xueying Chen Jerry Q. Cheng Min‐ge Xie 22 8 0 22 Feb 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 40 10 0 19 Feb 2021
High-dimensional inference robust to outliers with l1-norm penalization Jad Beyhum 36 1 0 28 Dec 2020