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Activity Number:
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376
- Breiman Inaugural Award Lectures
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Type:
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Invited
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Date/Time:
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Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #323796
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Title:
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Statistical Inferences of Euclidean Distances
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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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Abstract:
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Many statistical problems can be formulated as inferences about Euclidean distances. Through several examples, we shall introduce a principled framework to estimate and test about distances among a large number of objects. We shall also illustrate the methodology through an application in understanding the diversity of Vpu protein sequences from a recent HIV-1 study.
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Authors who are presenting talks have a * after their name.
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