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arXiv · 1609.02992

High-Dimension, Low Sample Size Asymptotics of Canonical Correlation Analysis

Sungwon Lee
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Abstract

An asymptotic behavior of canonical correlation analysis is studied when dimension d grows and the sample size n is fxed. In particular, we are interested in the conditions for which CCA works or fails in the HDLSS situation. This technical report investigates those conditions in a rather simplified setting where there exists one pair of directions in two sets of random variables with non-zero correlation between two sets of scores on them. Proofs and an extensive simulation study supports the findings.

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Sungwon Lee. 2016-09-10. High-Dimension, Low Sample Size Asymptotics of Canonical Correlation Analysis. https://arxiv.org/abs/1609.02992

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