Comment: Fisher lecture: Dimension reduction in regression

DOI10.1214/088342307000000069zbMath1246.62152arXiv0708.3777OpenAlexW3150840142MaRDI QIDQ5965648

Bing Li

Publication date: 1 September 2012

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0708.3777

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Linear inference, regression (62J99)

Related Items (4)

Revisiting the predictive power of kernel principal components ⋮ Predictive power of principal components for single-index model and sufficient dimension reduction ⋮ On the predictive potential of kernel principal components ⋮ On principal components regression with Hilbertian predictors

Cites Work

• Theory & Methods: Special Invited Paper: Dimension Reduction and Visualization in Discriminant Analysis (with discussion)

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