Abstract:
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We describe how selected dimension and rank reduction strategies are connected conceptually, paving the way for a unified view of multivariate dimension reduction and leading to contemporary methods like envelopes. Specific paradigms covered include envelopes, sufficient dimension reduction, reduced rank regression, and partial least squares. Emphasis will be given to underlying motifs and how they form a conceptual foundation for these and other paradigms.
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