Projective resampling estimation of informative predictor subspace for multivariate regression
type: Item
instance of: scholarly article
title: Projective resampling estimation of informative predictor subspace for multivariate regression
zbMATH Open document ID: 1504.62053
author: Sojin Ko
author: Jae Keun Yoo
published in: Journal of the Korean Statistical Society
publication date: 2023-01-17T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 7643157
zbMATH Keywords: clustering mean method
zbMATH Keywords: fused estimation
zbMATH Keywords: informative predictor subspace
zbMATH Keywords: \(K\)-means clustering
zbMATH Keywords: sufficient dimension reduction
MaRDI profile type: Publication
full work available at URL: s42952-022-00178-0
OpenAlex ID: W4285730792
cites work: Principal Hessian Directions Revisited
cites work: Q4217298
cites work: Comment
cites work: Dimension reduction for nonelliptically distributed predictors
cites work: Sliced Inverse Regression for Dimension Reduction
cites work: On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
cites work: Cluster-based estimation for sufficient dimension reduction
cites work: On a Projective Resampling Method for Dimension Reduction With Multivariate Responses
cites work: Sufficient dimension reduction through informative predictor subspace
DOI: 10.1007/S42952-022-00178-0
Recommended article: On a Projective Resampling Method for Dimension Reduction With Multivariate Responses
Recommended article: Partial projective resampling method for dimension reduction: with applications to partially linear models
Recommended article: Projection expectile regression for sufficient dimension reduction
Recommended article: On principal components regression, random projections, and column subsampling
Recommended article: Sufficient dimension reduction through informative predictor subspace
Recommended article: Robust non-parametric regression via incoherent subspace projections
Recommended article: Subspace projection for multivariate selection problems
Recommended article: Projective inference in high-dimensional problems: prediction and feature selection
Recommended article: Projection-based Inference for High-dimensional Linear Models
Recommended article: Estimation of linear projections of non-sparse coefficients in high-dimensional regression
description: scientific article; zbMATH DE number 7643157