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Rotation in Correspondence Analysis from the Canonical Correlation Perspective
Correspondence analysis (CA) is a statistical method for depicting the relationship between two categorical variables, and usually places an emphasis...
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From pre-processing to advanced dynamic modeling of pupil data
The pupil of the eye provides a rich source of information for cognitive scientists, as it can index a variety of bodily states (e.g., arousal,...
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The time course of visual influences in letter recognition
This study builds on a specific characteristic of letters of the Roman alphabet—namely, that each letter name is associated with two visual formats,...
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Oblique Rotaton in Canonical Correlation Analysis Reformulated as Maximizing the Generalized Coefficient of Determination
To facilitate the interpretation of canonical correlation analysis (CCA) solutions, procedures have been proposed in which CCA solutions are...
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Generalized constrained multiple correspondence analysis
A comprehensive approach for imposing both row and column constraints on multivariate discrete data is proposed that may be called generalized...
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The second order approximation to sample influence curve in canonical correlation analysis
A second order approximation to the sample influence curve (SIC) in canonical correlation analysis has been derived in the literature. However, it...
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Robust canonical discriminant analysis
A method for robust canonical discriminant analysis via two robust objective loss functions is discussed. These functions are useful to reduce the...
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Relationships among several methods of linearly constrained correspondence analysis
This paper shows essential equivalences among several methods of linearly constrained correspondence analysis. They include Fisher's method of...
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Canonical analysis of contingency tables with linear constraints
A generalized least squares approach is presented for incorporating linear constraints on the standardized row and column scores obtained from a...
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Redundancy analysis for qualitative variables
Redundancy analysis (also called principal components analysis of instrumental variables) is a technique for two sets of variables, one set being...