Robust feature screening for varying coefficient models via quantile partial correlation
type: Item
instance of: scholarly article
title: Robust feature screening for varying coefficient models via quantile partial correlation
zbMATH Open document ID: 1365.62138
author: Xiang-Jie Li
author: Xue-Jun Ma
author: Jingxiao Zhang
published in: Metrika
publication date: 2017-02-01T00:00:00Z
Mathematics Subject Classification ID: 62G08
zbMATH DE Number: 6679636
zbMATH Keywords: quantile partial correlation
zbMATH Keywords: ultrahigh-dimensional data
zbMATH Keywords: feature screening
zbMATH Keywords: varying coefficient model
MaRDI profile type: Publication
full work available at URL: s00184-016-0589-5
OpenAlex ID: W2472310269
cites work: The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
cites work: Profile likelihood inferences on semiparametric varying-coefficient partially linear models
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Sure Independence Screening for Ultrahigh Dimensional Feature Space
cites work: Sure independence screening in generalized linear models with NP-dimensionality
cites work: Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
cites work: Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
cites work: Quantile Correlations and Quantile Autoregressive Modeling
cites work: Robust rank correlation based screening
cites work: Feature Screening via Distance Correlation Learning
cites work: Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
cites work: Q4864293
cites work: Shrinkage Estimation of the Varying Coefficient Model
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: Model-Free Feature Screening for Ultrahigh-Dimensional Data
cites work: The Adaptive Lasso and Its Oracle Properties
cites work: Regularization and Variable Selection Via the Elastic Net
DOI: 10.1007/S00184-016-0589-5
description: scientific article; zbMATH DE number 6679636