On a new class of sufficient dimension reduction estimators

DOI10.1016/J.SPL.2018.03.019zbMath1463.62196OpenAlexW2798118420WikidataQ130040469 ScholiaQ130040469MaRDI QIDQ1642435

Yuexiao Dong, Yongxu Zhang

Publication date: 20 June 2018

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.03.019

zbMATH Keywords

ordinary least squaressliced inverse regressionlinear conditional mean

Mathematics Subject Classification ID

General nonlinear regression (62J02) Statistical ranking and selection procedures (62F07)

Related Items (1)

A structured covariance ensemble for sufficient dimension reduction

Cites Work

• Unnamed Item
• Successive direction extraction for estimating the central subspace in a multiple-index regres\-sion
• Regression analysis under link violation
• Dimension reduction for conditional mean in regression
• Sliced Inverse Regression for Dimension Reduction
• Comment

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