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Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression
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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.
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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...
Dimension reduction based on constrained canonical correlation and variable filtering
Canonical correlation dimension reduction L1-norm constraint
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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
...