Discussion of "A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression"

被引:0
|
作者
Li, Xiudi [1 ]
Shojaie, Ali [1 ]
机构
[1] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
基金
美国国家卫生研究院;
关键词
VARIABLE SELECTION; MODEL;
D O I
10.1080/01621459.2020.1837139
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
引用
收藏
页码:1717 / 1719
页数:3
相关论文
共 50 条
  • [1] A Tuning-free Robust and Efficient Approach to High-dimensional Regression
    Wang, Lan
    Peng, Bo
    Bradic, Jelena
    Li, Runze
    Wu, Yunan
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020, 115 (532) : 1700 - 1714
  • [2] Comment on "A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression"
    Loh, Po-Ling
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020, 115 (532) : 1715 - 1716
  • [3] A tuning-free efficient test for marginal linear effects in high-dimensional quantile regression
    Xu, Kai
    An, Nan
    [J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2024, 76 (01) : 93 - 110
  • [4] A tuning-free efficient test for marginal linear effects in high-dimensional quantile regression
    Kai Xu
    Nan An
    [J]. Annals of the Institute of Statistical Mathematics, 2024, 76 : 93 - 110
  • [5] Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression
    Vats, Divyanshu
    Baraniuk, Richard G.
    [J]. ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 33, 2014, 33 : 948 - 957
  • [6] Tuning-free ridge estimators for high-dimensional generalized linear models
    Huang, Shih-Ting
    Xie, Fang
    Lederer, Johannes
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 159
  • [7] ROBUST HIGH-DIMENSIONAL TUNING FREE MULTIPLE TESTING
    Fan, Jianqing
    Lou, Zhipeng
    Yu, Mengxin
    [J]. ANNALS OF STATISTICS, 2023, 51 (05): : 2093 - 2115
  • [8] A NEW PRINCIPLE FOR TUNING-FREE HUBER REGRESSION
    Wang, Lili
    Zheng, Chao
    Zhou, Wen
    Zhou, Wen-Xin
    [J]. STATISTICA SINICA, 2021, 31 (04) : 2153 - 2177
  • [9] On robust regression with high-dimensional predictors
    El Karoui, Noureddine
    Bean, Derek
    Bickel, Peter J.
    Lim, Chinghway
    Yu, Bin
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (36) : 14557 - 14562
  • [10] Efficient Tuning-Free l1-Regression of Nonnegative Compressible Signals
    Petersen, Hendrik Bernd
    Bah, Bubacarr
    Jung, Peter
    [J]. FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, 2021, 7