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Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression
2016/1/25
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
GENERALIZED SEPARATION THEOREMS FOR SINGULAR VALUES OF A MATRIX AND THEIR APPLICATIONS IN CANONICAL CORRELATION ANALYSIS
Canonical correlations conditional canonical correlations singular values.
2009/9/18
Rao (1979) established separation theorems for singular
values of a matrix and showed their applications in multivariate
analysis. In this paper, we provide generalized separation theorems for
sing...
Distributions and the Bootstrap Method of Some Statistics in Principal Canonical Correlation Analysis
canonical correlation analysis perturbation method principal component
2009/3/5
We investigate the canonical correlation of the principal components from two populations, and attain the limiting distribution using the perturbation expansion of the canonical correlation estimate. ...
Asymptotic study of canonical correlation analysis：from matrix and analytic approach to operator and tensor approach
multivariate analysis canonical correlation analysis asymptotic study operator coordinatefree distribution-free
2009/2/23
Asymptotic study of canonical correlation analysis gives the opportunity to present the different steps of an asymptotic study and to show the interest of an operator and tensor approach of multidimen...
Dimension reduction based on constrained canonical correlation and variable filtering
Canonical correlation dimension reduction L1-norm constraint
2010/4/30
The “curse of dimensionality” has remained a challenge for highdimensional
data analysis in statistics. The sliced inverse regression
(SIR) and canonical correlation (CANCOR) methods aim to reduce
...
