Advances in seeded dimension reduction: Bootstrap criteria and extensions
AbstractA seeded dimension reduction approach recently developed provides a paradigm to enable existing dimension reduction methods for the central subspace to be adapted to regressions with n
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Bibliographic InfoArticle provided by Elsevier in its journal Computational Statistics & Data Analysis.
Volume (Year): 60 (2013)
Issue (Month): C ()
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Web page: http://www.elsevier.com/locate/csda
Bootstrap; Categorical predictors; Large p small n; Seeded dimension reduction; Survival regression;
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