Canonical Correlation Analysis Through Linear Modeling

DOI10.1111/anzs.12057zbMath1334.62115OpenAlexW2073345313MaRDI QIDQ2802862

Jae Keun Yoo, Keunbaik Lee

Publication date: 27 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12057

zbMATH Keywords

least squaresvariable selectioncanonical correlationmultivariate regressionsufficient dimension reduction

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (2)

Unstructured principal fitted response reduction in multivariate regression ⋮ A theoretical note on optimal sufficient dimension reduction with singularity

Cites Work

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• Response dimension reduction for the conditional mean in multivariate regression
• On almost linearity of low dimensional projections from high dimensional data
• Optimal sufficient dimension reduction for the conditional mean in multivariate regression
• Asymptotic Theory of Overparameterized Structural Models
• A Model-Free Test for Reduced Rank in Multivariate Regression
• Sufficient Dimension Reduction via Inverse Regression

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