Properties of cyclic subspace regression

DOI10.1016/j.jmva.2006.05.004zbMath1107.62052OpenAlexW2025874089MaRDI QIDQ873629

Rienk Venema, Ann Gironella, Patrick M. Lang

Publication date: 29 March 2007

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2006.05.004

zbMATH Keywords

predictioncovariance maximizationfactor selectionpartial principal componentsregression vector representation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Invariant Subspaces and Regression

Cites Work

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• Inertia characteristics of self-adjoint matrix polynomials
• Cyclic subspace regression
• Partial least squares algorithm yields shrinkage estimators
• Principal component analysis.

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