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Activity Number:
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381
- High-Dimensional Nonparametric Statistics
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #326928
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Title:
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MASES: a Nonparametric Dimension Reduction Approach
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Author(s):
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Hui Zou* and Qing Mai and Xin Zhang
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Companies:
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University of Minnesota and Florida State University and Florida State University
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Keywords:
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Categoricaldataanalysis;
sliced inverse regression;
suf?cient dimension reduction;
Hellingerdistance
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Abstract:
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In this paper we introduce a new concept called Maximum Separation Subspace (MASES) as a natural inferential and estimative object for sufficient dimension reduction with binary or categorical response. This is joint work with Qing Mai and Xin Zhang.
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Authors who are presenting talks have a * after their name.
