Optimal transformation: a new approach for covering the central subspace

DOI10.1016/J.JMVA.2012.09.001zbMath1258.62074OpenAlexW2021328698MaRDI QIDQ1941428

Bernard Delyon, François Portier

Publication date: 12 March 2013

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.09.001

zbMATH Keywords

sufficient dimension reductioninverse regressioncentral subspaceslicing estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Multivariate analysis (62H99) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (6)

On an extension of the promotion time cure model ⋮ Tail inverse regression: dimension reduction for prediction of extremes ⋮ Minimax adaptive dimension reduction for regression ⋮ On the asymptotics of \(Z\)-estimators indexed by the objective functions ⋮ Bootstrap Testing of the Rank of a Matrix via Least-Squared Constrained Estimation ⋮ An Empirical Process View of Inverse Regression

This page was built for publication: Optimal transformation: a new approach for covering the central subspace