AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces of Euclidean space. We also look into a canonical analysis of operators. We then apply the definitions and some of the results to the field of probability and statistics
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces...
AbstractFirst a maximum coefficient notion between two real closed Hilbertian subspaces relative to ...
Abst ract. We introduce the Linear Relative Canonical Analysis (LRCA) of Euclidean random variables....
AbstractThis paper presents a perturbation analysis of the canonical subspaces of a matrix pair (A,B...
This paper deals with asymptotics for multiple-set linear canonical analysis (MSLCA). A definition o...
Measures of association are introduced for Hilbertian subspaces, that are defined by a few axioms an...
canonical analysis, singular value decomposition, restricted maximum likelihood,
The ordinary notion of a bivariate distribution has a natural generalisation. For this generalisatio...
Canonical Analysis is the statistical study of the relationships of two vector variables. In this di...
Using a recent result about the invariance problem in linear canonical analysis (LCA), we introduce ...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
AbstractWe develop a canonical analysis both without constraints and under constraints for subspaces...
AbstractFirst a maximum coefficient notion between two real closed Hilbertian subspaces relative to ...
Abst ract. We introduce the Linear Relative Canonical Analysis (LRCA) of Euclidean random variables....
AbstractThis paper presents a perturbation analysis of the canonical subspaces of a matrix pair (A,B...
This paper deals with asymptotics for multiple-set linear canonical analysis (MSLCA). A definition o...
Measures of association are introduced for Hilbertian subspaces, that are defined by a few axioms an...
canonical analysis, singular value decomposition, restricted maximum likelihood,
The ordinary notion of a bivariate distribution has a natural generalisation. For this generalisatio...
Canonical Analysis is the statistical study of the relationships of two vector variables. In this di...
Using a recent result about the invariance problem in linear canonical analysis (LCA), we introduce ...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
An arbitrary linear relation (multivalued operator) acting from one Hilbert space to another Hilbert...
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