Application of the Bootstrap Approach to the Choice of Dimension and the α Parameter in the SIRαMethod

DOI10.1080/03610910801889011zbMath1145.62031OpenAlexW1966429388MaRDI QIDQ3527754

Jérôme Saracco, Bernoît Liquet

Publication date: 30 September 2008

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910801889011

zbMATH Keywords

dimension reductionsliced inverse regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) General nonlinear regression (62J02) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items (8)

A Sliced Inverse Regression Approach for a Stratified Population ⋮ Variable importance assessment in sliced inverse regression for variable selection ⋮ A sliced inverse regression approach for data stream ⋮ Bagging Versions of Sliced Inverse Regression ⋮ Cluster-based sliced inverse regression ⋮ A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches ⋮ Advanced topics in sliced inverse regression ⋮ Computational Outlier Detection Methods in Sliced Inverse Regression

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