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Abstract Details
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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #301864 |
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Title:
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Hypothesis Testing for High-Dimensional Data
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Author(s):
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Yingli Qin*+
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Companies:
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Nanyang Technological University
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Address:
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21 Nanyang Link, Singapore, 637371, Singapore
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Keywords:
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high-dimensional ;
testing ;
manova ;
martingale ;
asymptotic normal
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Abstract:
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We propose a high-dimensional MANOVA test statistic, in the case where both the sample sizes and dimensionality grow to infinity. The asymptotic distribution of the test statistic has been shown to be asymptotic normal under general conditions using martingale central limit theorem. Simulation results will be provided to demonstrate the empirical power and size of our test, also an application to biological data will be presented.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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