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Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms
  and Theoretical Studies
v1v2v3 (latest)

Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies

15 December 2021
Yiyuan She
Zhifeng Wang
Jiahui Shen
ArXiv (abs)PDFHTML

Papers citing "Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies"

6 / 6 papers shown
Title
Robust penalized least squares of depth trimmed residuals regression for
  high-dimensional data
Robust penalized least squares of depth trimmed residuals regression for high-dimensional data
Yijun Zuo
37
1
0
04 Sep 2023
High-dimensional outlier detection and variable selection via adaptive
  weighted mean regression
High-dimensional outlier detection and variable selection via adaptive weighted mean regression
Jiaqi Li
Linglong Kong
Bei Jiang
Wei Tu
38
0
0
24 Jun 2023
Slow Kill for Big Data Learning
Slow Kill for Big Data Learning
Yiyuan She
Jianhui Shen
Adrian Barbu
57
3
0
02 May 2023
The Cellwise Minimum Covariance Determinant Estimator
The Cellwise Minimum Covariance Determinant Estimator
Jakob Raymaekers
P. Rousseeuw
55
19
0
27 Jul 2022
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth
  Nonconvex Statistical Learning
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning
Yiyuan She
Zhifeng Wang
Jiuwu Jin
48
8
0
16 Dec 2021
Robust Variable Selection and Estimation Via Adaptive Elastic Net
  S-Estimators for Linear Regression
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
D. Kepplinger
41
14
0
07 Jul 2021
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