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Activity Number: 376 - Breiman Inaugural Award Lectures
Type: Invited
Date/Time: Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #323796
Title: Statistical Inferences of Euclidean Distances
Author(s): Ming Yuan*
Companies: University of Wisconsin
Keywords:
Abstract:

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.


Authors who are presenting talks have a * after their name.

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