English, Article, Journal or magazine article edition: Assessing the Number of Components in Mixture Models: a Review. Ana Oliveira-Brochado; Francisco Vitorino Martins

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Bookmark: http://trove.nla.gov.au/version/182782
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Assessing the Number of Components in Mixture Models: a Review.
Author
  • Ana Oliveira-Brochado
  • Francisco Vitorino Martins
Physical Description
  • preprint
Notes
  • Despite the widespread application of finite mixture models, the decision of how many classes are required to adequately represent the data is, according to many authors, an important, but unsolved issue. This work aims to review, describe and organize the available approaches designed to help the selection of the adequate number of mixture components (including Monte Carlo test procedures, information criteria and classification-based criteria); we also provide some published simulation results about their relative performance, with the purpose of identifying the scenarios where each criterion is more effective (adequate).
  • Finite mixture; number of mixture components; information criteria; simulation studies.
  • RePEc:por:fepwps:194
Language
  • English
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