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Abstract Details
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Activity Number:
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444
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #303870 |
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Title:
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Testing Hypotheses in the High-Dimensional Setting
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Author(s):
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Tony Cai*+
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Companies:
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University of Pennsylvania
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Address:
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Wharton - Statistics 400 JMHH, PHILADELPHIA, PA, 19104, United States
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Keywords:
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hypothesis testing ;
covariance matrix ;
high dimensional inference
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Abstract:
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In this talk, I will discuss some recent results on hypothesis testing in the high-dimensional setting where the dimension can be much larger than the sample size. The problems include testing large covariance matrices and high-dimensional signals. These testing problems exhibit new features that are quite different from the conventional low-dimensional problems.
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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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