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Sufficient Dimension Reduction

Lu, Jingyue


In regression analysis, it is difficult to uncover the dependence relationship between a response variable and a covariate vector when the dimension of the covariate vector is high. To reduce the dimension of the covariate vector, one approach is sufficient dimension reduction. Sufficient dimension reduction is based on the assumption that the response variable relates to only a few linear combinations of the covariate vector. Thus, by replacing the covariate...[Show more]

CollectionsOpen Access Theses
Date published: 2017
Type: Thesis (MPhil)
DOI: 10.25911/5d66642817ae9


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