Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression
type: Item
instance of: scholarly article
title: Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression
zbMATH Open document ID: 1144.62039
author: Jae Keun Yoo
published in: Journal of Multivariate Analysis
publication date: 2008-09-10T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G10
zbMATH DE Number: 5323889
zbMATH Keywords: categorical predictor
zbMATH Keywords: multivariate regression
zbMATH Keywords: predictor effect test
zbMATH Keywords: partial dimension reduction
MaRDI profile type: Publication
full work available at URL: j.jmva.2008.01.010
OpenAlex ID: W1991004945
cites work: Testing predictor contributions in sufficient dimension reduction.
cites work: Dimension reduction for conditional mean in regression
cites work: Sufficient Dimension Reduction via Inverse Regression
cites work: A Model-Free Test for Reduced Rank in Multivariate Regression
cites work: A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
cites work: On almost linearity of low dimensional projections from high dimensional data
cites work: Dimension reduction for the conditional mean in regressions with categorical predictors
cites work: Sliced Inverse Regression for Dimension Reduction
cites work: Dimension Reduction for Multivariate Response Data
cites work: Q5511769
cites work: Asymptotic Theory of Overparameterized Structural Models
cites work: Dimension Reduction for the Conditionalkth Moment in Regression
cites work: Optimal sufficient dimension reduction for the conditional mean in multivariate regression
cites work: Mean and Covariance Structure Analysis: Theoretical and Practical Improvements
DOI: 10.1016/J.JMVA.2008.01.010
description: scientific article; zbMATH DE number 5323889