Your browser doesn't support javascript.
loading
clusterBMA: Bayesian model averaging for clustering.
Forbes, Owen; Santos-Fernandez, Edgar; Wu, Paul Pao-Yen; Xie, Hong-Bo; Schwenn, Paul E; Lagopoulos, Jim; Mills, Lia; Sacks, Dashiell D; Hermens, Daniel F; Mengersen, Kerrie.
Afiliação
  • Forbes O; Centre for Data Science, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
  • Santos-Fernandez E; Centre for Data Science, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
  • Wu PP; Centre for Data Science, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
  • Xie HB; Centre for Data Science, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
  • Schwenn PE; School of Information Science and Engineering, Yunnan University, Kunming, China.
  • Lagopoulos J; UQ Poche Centre for Indigenous Health, The University of Queensland, Brisbane, QLD, Australia.
  • Mills L; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.
  • Sacks DD; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.
  • Hermens DF; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.
  • Mengersen K; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.
PLoS One ; 18(8): e0288000, 2023.
Article em En | MEDLINE | ID: mdl-37603575
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Benchmarking Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Benchmarking Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália