Abstract Details
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Activity Number:
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476
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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Abstract #310991
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Title:
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Optimal Detection of Sparse Signal Segments
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Author(s):
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Ming Yuan*+
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Companies:
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University of Wisconsin
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Keywords:
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signal detection ;
sparsity ;
multiple testing ;
scan statistics
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Abstract:
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In many applications involving high dimensional data, we are interested in identifying sparse segments of signal in a noisy background. The signals can be copy number variation, or objects in video surveillance among others. We study the relationship between the detectability of a signal, and its shape as well as duration; and the implications of such a relationship on detection strategies.
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Authors who are presenting talks have a * after their name.
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