Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A moment-distance hybrid method for estimating a mixture of two symmetric densities
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics. (Patrik Rydén)
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics. (Patrik Rydén)
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics. (Patrik Rydén)
2017 (English)In: Modern Stochastics: Theory and Applications, ISSN 2351-6054Article in journal (Refereed) Epub ahead of print
Abstract [en]

In clustering of high-dimensional data a variable selection is commonly applied to obtain an accurate grouping of the samples. For two-class problems this selection may be carried out by fitting a mixture distribution to each variable. We propose a hybrid method for estimating a parametric mixture of two symmetric densities. The estimator combines the method of moments with the minimum distance approach. An evaluation study including both extensive simulations and gene expression data from acute leukemia patients shows that the hybrid method outperforms a maximum-likelihood estimator in model-based clustering. The hybrid estimator is flexible and performs well also under imprecise model assumptions, suggesting that it is robust and suited for real problems.

Place, publisher, year, edition, pages
2017.
Keywords [en]
inference for mixtures, method of moments, minimum distance, model-based clustering
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-144644DOI: 10.15559/17-VMSTA93OAI: oai:DiVA.org:umu-144644DiVA, id: diva2:1181475
Funder
Swedish Research Council, 340-2013-5185Available from: 2018-02-08 Created: 2018-02-08 Last updated: 2018-06-09Bibliographically approved

Open Access in DiVA

fulltext(4594 kB)11 downloads
File information
File name FULLTEXT01.pdfFile size 4594 kBChecksum SHA-512
7408c49e5e791e12f5f5bdd36b37ed19ea5e47f1c5c4f5d39ef43dea792ad7feec7677b329bd2d43824abf67a0adbd610de94f2ab12781e4ed7b6c8fd3ae94c2
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Källberg, DavidBelyaev, YuriRydén, Patrik
By organisation
Department of Mathematics and Mathematical Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 11 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf