INNOVATED INTERACTION SCREENING FOR HIGH-DIMENSIONAL NONLINEAR CLASSIFICATION
INNOVATED INTERACTION SCREENING FOR HIGH-DIMENSIONAL NONLINEAR CLASSIFICATION
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Publisher
Hayward: Institute of Mathematical Statistics
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Language
English
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Publisher
Hayward: Institute of Mathematical Statistics
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Contents
This paper is concerned with the problems of interaction screening and nonlinear classification in a high-dimensional setting. We propose a two-step procedure, IIS-SQDA, where in the first step an innovated interaction screening (IIS) approach based on transforming the original p-dimensional feature vector is proposed, and in the second step a spar...
Alternative Titles
Full title
INNOVATED INTERACTION SCREENING FOR HIGH-DIMENSIONAL NONLINEAR CLASSIFICATION
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1431695643
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1431695643
Other Identifiers
ISSN
0090-5364
E-ISSN
2168-8966
DOI
10.1214/14-AOS1308
