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Activity Number: 434
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract #317624 View Presentation
Title: High-dimension Low Sample Size Asymptotics of Canonical Correlation Analysis
Author(s): Sung Lee* and Sungkyu Jung
Companies: University of Pittsburgh and University of Pittsburgh
Keywords: HDLSS Asymptotic ; CCA
Abstract:

An asymptotic behavior of CCA is studied when dimension d grows and the sample size n is fixed (i.e., under the HDLSS situation). In particular, we are interested in the conditions for which CCA works or fails in the HDLSS situation. This paper presents a conjecture about those conditions, which is supported by extensive simulation study.

Authors who are presenting talks have a * after their name.

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