On the second-order inverse regression methods for a general type of elliptical predictors

DOI10.5705/ss.202016.0056zbMath1394.62094OpenAlexW2606737798MaRDI QIDQ4571215

Wei Luo

Publication date: 6 July 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202016.0056

zbMATH Keywords

directional regressionprincipal Hessian directionscentral subspacecentral mean subspacequadratic variance ellipticity family

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Ridge regression; shrinkage estimators (Lasso) (62J07)

Related Items (2)

Generalized kernel-based inverse regression methods for sufficient dimension reduction ⋮ Generalized principal Hessian directions for mixture multivariate skew elliptical distributions

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