Advances in seeded dimension reduction: Bootstrap criteria and extensions

Jae Keun Yoo

Computational Statistics & Data Analysis, 2013, vol. 60, issue C, 70-79

Abstract: A 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 nKeywords: Bootstrap; Categorical predictors; Large p small n; Seeded dimension reduction; Survival regression (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:60:y:2013:i:c:p:70-79

DOI: 10.1016/j.csda.2012.10.003

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