Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Geometric representation of high dimension, low sample size data

Simple item page
dc.contributor.authorHall, Peter
dc.contributor.authorMarron, J S
dc.contributor.authorNeeman, Amnon
dc.date.accessioned2015-12-13T22:51:39Z
dc.date.issued2005
dc.date.updated2015-12-11T10:46:23Z
dc.description.abstractHigh 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
dc.identifier.issn1369-7412
dc.identifier.urihttp://hdl.handle.net/1885/81185
dc.publisherAiden Press
dc.sourceJournal of the Royal Statistical Society Series B
dc.subjectKeywords: Chemometrics; Large dimensional data; Medical images; Microarrays; Multivariate analysis; Non-standard asymptotics
dc.titleGeometric representation of high dimension, low sample size data
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.lastpage444
local.bibliographicCitation.startpage427
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationMarron, J S, University of North Carolina
local.contributor.affiliationNeeman, Amnon, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHall, Peter, u7801145
local.contributor.authoruidNeeman, Amnon, u9903889
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub9535
local.identifier.citationvolume67
local.identifier.doi10.1111/j.1467-9868.2005.00510.x
local.identifier.scopusID2-s2.0-20744451888
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Hall_Geometric_representation_of_2005.pdf
Size:
244.41 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS