Skip navigation
Skip navigation

Sufficient Dimension Reduction

Lu, Jingyue

Description

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)
URI: http://hdl.handle.net/1885/124007
DOI: 10.25911/5d66642817ae9

Download

File Description SizeFormat Image
Lu Thesis 2017.pdf961.01 kBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator