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