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
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 26 13 0 06 Nov 2018
Scale calibration for high-dimensional robust regression Yu Li 27 26 0 06 Nov 2018
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning Léo Miolane Andrea Montanari 30 92 0 03 Nov 2018
High Dimensional Robust Inference for Cox Regression Models S. Kong Zhuqing Yu Xianyang Zhang Guang Cheng 9 9 0 01 Nov 2018
On the Properties of Simulation-based Estimators in High Dimensions S. Guerrier Mucyo Karemera Samuel Orso Maria-Pia Victoria-Feser 12 2 0 10 Oct 2018
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares Xiao Guo Guang Cheng 32 5 0 02 Oct 2018
Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models Abhishek Chakrabortty Preetam Nandy Hongzhe Li CML 6 19 0 27 Sep 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 34 254 0 26 Sep 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 26 103 0 14 Sep 2018
Statistical inference and feasibility determination: a nonasymptotic approach Ying Zhu 8 0 0 17 Aug 2018
Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions L. Waldorp M. Marsman G. Maris 28 9 0 28 Jul 2018
Prediction regions through Inverse Regression Emilie Devijver Émeline Perthame 17 8 0 09 Jul 2018
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications T. Tony Cai Zijian Guo 24 59 0 16 Jun 2018
High-Dimensional Inference for Cluster-Based Graphical Models Carson Eisenach F. Bunea Y. Ning Claudiu Dinicu 14 8 0 13 Jun 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 33 67 0 05 Jun 2018
Approximate Newton-based statistical inference using only stochastic gradients Tianyang Li Anastasios Kyrillidis L. Liu Constantine Caramanis 21 6 0 23 May 2018
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models Rong Ma T. Tony Cai Hongzhe Li 13 65 0 17 May 2018
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models Ming Yu Karthikeyan N. Ramamurthy Addie M. Thompson A. Lozano 10 2 0 29 Apr 2018
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model Liao Zhu Sumanta Basu R. Jarrow M. Wells 23 23 0 23 Apr 2018
Variable Selection via Adaptive False Negative Control in Linear Regression X. J. Jeng Xiongzhi Chen 26 9 0 20 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 33 285 0 19 Mar 2018
False Discovery Rate Control via Debiased Lasso Adel Javanmard Hamid Javadi 36 56 0 12 Mar 2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models S. Majumdar George Michailidis 19 4 0 09 Mar 2018
Confidence intervals for high-dimensional Cox models Yi Yu Jelena Bradic R. Samworth 11 29 0 03 Mar 2018
Semi-Analytic Resampling in Lasso T. Obuchi Y. Kabashima 56 8 0 28 Feb 2018
Testability of high-dimensional linear models with non-sparse structures Jelena Bradic Jianqing Fan Yinchu Zhu 20 15 0 26 Feb 2018
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh 29 91 0 23 Feb 2018
De-biased sparse PCA: Inference and testing for eigenstructure of large covariance matrices Jana Janková Sara van de Geer 20 17 0 31 Jan 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 27 87 0 30 Jan 2018
Inference in high-dimensional graphical models Jana Janková Sara van de Geer 22 65 0 25 Jan 2018
Debiased Machine Learning of Set-Identified Linear Models Vira Semenova 38 5 0 28 Dec 2017
Accurate Inference for Adaptive Linear Models Y. Deshpande Lester W. Mackey Vasilis Syrgkanis Matt Taddy OffRL 21 60 0 18 Dec 2017
Estimating the error variance in a high-dimensional linear model Guo Yu Jacob Bien 22 38 0 06 Dec 2017
Debiasing the Debiased Lasso with Bootstrap Sai Li 28 14 0 09 Nov 2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs Cong Ma Junwei Lu Han Liu 20 8 0 20 Sep 2017
On the efficiency of the de-biased Lasso Sara van de Geer 25 6 0 26 Aug 2017
Efficient Estimation of Linear Functionals of Principal Components V. Koltchinskii Matthias Loffler Richard Nickl 12 33 0 25 Aug 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 30 37 0 18 Aug 2017
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 27 17 0 14 Aug 2017
Breaking the curse of dimensionality in regression Yinchu Zhu Jelena Bradic 31 19 0 01 Aug 2017
Adaptive Inferential Method for Monotone Graph Invariants Junwei Lu Matey Neykov Han Liu 27 4 0 28 Jul 2017
Asymptotic Confidence Regions for High-dimensional Structured Sparsity Benjamin Stucky Sara van de Geer 21 12 0 28 Jun 2017
Regularized Ordinal Regression and the ordinalNet R Package Mike Wurm P. Rathouz B. Hanlon 45 72 0 15 Jun 2017
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 30 50 0 22 May 2017
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction K. Bouchard Alejandro F. Bujan Farbod Roosta-Khorasani Shashanka Ubaru P. Prabhat A. Snijders J. Mao E. Chang Michael W. Mahoney Sharmodeep Bhattacharyya 16 18 0 22 May 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 53 58 0 16 May 2017
A Flexible Framework for Hypothesis Testing in High-dimensions Adel Javanmard Jason D. Lee 39 29 0 26 Apr 2017
Comments on `High-dimensional simultaneous inference with the bootstrap' R. Lockhart R. Samworth SyDa 20 2 0 29 Mar 2017
Scalable simultaneous inference in high-dimensional linear regression models Tom Boot Didier Nibbering 10 0 0 09 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables A. Belloni Victor Chernozhukov A. Kaul 39 18 0 01 Mar 2017