On the extension of sliced average variance estimation to multivariate regression

DOI10.1007/s10260-010-0145-9zbMath1332.62219OpenAlexW2022844378MaRDI QIDQ257590

Keunbaik Lee, Jae Keun Yoo, Seongho Wu

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-010-0145-9

zbMATH Keywords

\(k\)-means clusteringdouble slicingmultivariatere gressionpooled estimationsliced average variance estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (6)

K-medoids inverse regression ⋮ Sufficient dimension reduction through informative predictor subspace ⋮ A selective review of sufficient dimension reduction for multivariate response regression ⋮ Multivariate seeded dimension reduction ⋮ Feature filter for estimating central mean subspace and its sparse solution ⋮ Sufficient dimension reduction in multivariate regressions with categorical predictors

Cites Work

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• Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression
• Asymptotics for sliced average variance estimation
• A novel moment-based sufficient dimension reduction approach in multivariate regression
• Estimating the dimension of a model
• A Gauss implementation of multivariate sliced inverse regression
• Sufficient dimension reduction in regressions with categorical predictors
• Nearest neighbor inverse regression
• On kernel method for sliced average variance estimation
• Moment-based dimension reduction for multivariate response regression
• On a Projective Resampling Method for Dimension Reduction With Multivariate Responses
• Optimal sufficient dimension reduction for the conditional mean in multivariate regression
• Sliced Inverse Regression for Dimension Reduction
• Dimension Reduction for Multivariate Response Data
• Marginal tests with sliced average variance estimation

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