Continuous canonical correlation analysis

Simple item page
dc.contributor.authorCaudras, C.M.
dc.date.accessioned2013-05-15T03:58:00Z
dc.date.available2013-05-15T03:58:00Z
dc.date.issued2005
dc.description.abstractGiven a bivariate distribution, the set of canonical correlations and functions is in general finite or countable. By using an inner product between two functions via an extension of the covariance, we find all the canonical correlations and functions for the so-called Cuadras-AugĀ“e copula and prove the continuous dimensionality of this distribution.en
dc.identifier.citationCuadras, C.M. (2005), Continuous canonical correlation analysis, Research Letters in the Information and Mathematical Sciences, 8, 97-103en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4454
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectCanonical correlation analysisen
dc.titleContinuous canonical correlation analysisen
dc.typeArticleen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Continuous_canonical_correlation_analysis.pdf
Size:
117.01 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Letters in the Information and Mathematical Sciences