Low-rank elastic-net regularized multivariate Huber regression model
type: Item
instance of: scholarly article
title: Low-rank elastic-net regularized multivariate Huber regression model
zbMATH Open document ID: 1481.62025
author: Zhiyong Huang
author: Bing Zhen Chen
author: Wen-juan Zhai
published in: Applied Mathematical Modelling
publication date: 2021-08-27T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62G35
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 90C46
Mathematics Subject Classification ID: 90C25
zbMATH DE Number: 7387326
zbMATH Keywords: multivariate Huber regression
zbMATH Keywords: collinearity
zbMATH Keywords: grouping effect property
zbMATH Keywords: heavy tails
zbMATH Keywords: accelerated proximal gradient algorithm
MaRDI profile type: Publication
full work available at URL: j.apm.2020.05.012
OpenAlex ID: W3027571940
cites work: Regression Quantiles
cites work: Robust regression through the Huber's criterion and adaptive lasso penalty
cites work: Estimation of High Dimensional Mean Regression in the Absence of Symmetry and Light Tail Assumptions
cites work: Regularized Matrix Regression
cites work: Regularization and Variable Selection Via the Elastic Net
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: Estimation of (near) low-rank matrices with noise and high-dimensional scaling
cites work: Robust low-rank matrix estimation
cites work: Robust Estimation of a Location Parameter
cites work: Robust Statistics
cites work: Characterization of the subdifferential of some matrix norms
cites work: Wavelet methods in statistics: some recent developments and their applications
cites work: Outlier Detection Using Nonconvex Penalized Regression
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: A Singular Value Thresholding Algorithm for Matrix Completion
cites work: Fixed point and Bregman iterative methods for matrix rank minimization
cites work: Q3161693
cites work: Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
cites work: Q3134080
cites work: On the degrees of freedom of reduced-rank estimators in multivariate regression
cites work: Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression
cites work: Training robust support vector regression with smooth non-convex loss function
DOI: 10.1016/J.APM.2020.05.012
description: scientific article; zbMATH DE number 7387326