Add to ORKGAbst ract. We introduce the Linear Relative Canonical Analysis (LRCA) of Euclidean random variables. Then similar properties than for usual linear Canonical Analysis are obtained. Furthermore, we develop an asymptotic study of LRCA and apply the obtained results to tests for lack of relative linear association, dimension-ality and invariance. Key words and phrases: Canonical analysis, relative canonical analysis, asymptotic study, linear elative association, invariance, additional information, (relative) canon-ical coefficient, partial canonical correlation. 1
AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
Non-linear canonical correlation analysis is a method for canonical correlation analysis with optima...
This paper deals with asymptotics for multiple-set linear canonical analysis (MSLCA). A definition o...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Using a recent result about the invariance problem in linear canonical analysis (LCA), we introduce ...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 22522, issue : a.2002 ...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
Canonical Analysis is the statistical study of the relationships of two vector variables. In this di...
High dimensional, low sample, data have singular sample covariance matrices,rendering them impossibl...
High dimensional, low sample, data have singular sample covariance matrices,rendering them impossibl...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
Non-linear canonical correlation analysis is a method for canonical correlation analysis with optima...
This paper deals with asymptotics for multiple-set linear canonical analysis (MSLCA). A definition o...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Using a recent result about the invariance problem in linear canonical analysis (LCA), we introduce ...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 22522, issue : a.2002 ...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
Canonical Analysis is the statistical study of the relationships of two vector variables. In this di...
High dimensional, low sample, data have singular sample covariance matrices,rendering them impossibl...
High dimensional, low sample, data have singular sample covariance matrices,rendering them impossibl...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
Non-linear canonical correlation analysis is a method for canonical correlation analysis with optima...