Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory

17 January 2013

Papers citing "Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory"

22 / 22 papers shown

Title
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 27 1 0 08 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
LASSO risk and phase transition under dependence Hanwen Huang 33 3 0 30 Mar 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 27 10 0 19 Feb 2021
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 44 12 0 06 Nov 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 19 20 0 26 Dec 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 28 31 0 04 Nov 2019
Power analysis of knockoff filters for correlated designs Jingbo Liu Philippe Rigollet 18 16 0 28 Oct 2019
Efficient Estimation of Smooth Functionals in Gaussian Shift Models V. Koltchinskii M. Zhilova 18 14 0 05 Oct 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 16 103 0 14 Sep 2018
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications T. Tony Cai Zijian Guo 13 59 0 16 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 23 285 0 19 Mar 2018
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 39 57 0 16 May 2017
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 14 105 0 29 Mar 2016
Universality laws for randomized dimension reduction, with applications Samet Oymak J. Tropp 44 109 0 30 Nov 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection R. Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 22 104 0 20 Jun 2015
Inference of high-dimensional linear models with time-varying coefficients Xiaohui Chen Yifeng He 34 9 0 12 Jun 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 36 46 0 13 Dec 2014
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 27 332 0 09 Oct 2014
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 46 1,128 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor R. Tibshirani Robert Tibshirani 56 656 0 30 Jan 2013