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Geometric representation of high dimension, low sample size data

Hall, Peter; Marron, J S; Neeman, Amnon


High dimension, low sample size data are emerging in various areas of science. We find a common structure underlying many such data sets by using a non-standard type of asymptotics: the dimension tends to ∞ while the sample size is fixed. Our analysis s

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Journal of the Royal Statistical Society Series B
DOI: 10.1111/j.1467-9868.2005.00510.x


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