Asymptotics For High Dimensional Regression M-Estimates: Fixed Design Results

19 December 2016

Papers citing "Asymptotics For High Dimensional Regression M-Estimates: Fixed Design Results"

7 / 7 papers shown

Title
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 44 165 0 15 Dec 2020
Smoothed Quantile Regression with Large-Scale Inference Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 22 94 0 09 Dec 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
Does SLOPE outperform bridge regression? Shuaiwen Wang Haolei Weng A. Maleki 15 19 0 20 Sep 2019
On rank estimators in increasing dimensions Yanqin Fan Fang Han Wei Li Xiao‐Hua Zhou 28 16 0 14 Aug 2019
Regression adjustment in completely randomized experiments with a diverging number of covariates Lihua Lei Peng Ding 32 48 0 20 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 25 285 0 19 Mar 2018