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Filtros : "Milan, Luis Aparecido" "Suiça" Removido: "MDPI" Limpar

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  • Artigo de periodico

    An integrated approach for making inference on the number of clusters in a mixture model (2019)

    Saraiva, Erlandson Ferreira ; Suzuki, Adriano Kamimura ; Milan, Luis Aparecido ; Pereira, Carlos Alberto de Bragança

    Source: Entropy. Unidades: ICMC, IME, INTER: ICMC -UFSCAR

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SARAIVA, Erlandson Ferreira et al. An integrated approach for making inference on the number of clusters in a mixture model. Entropy, v. 21, n. 11, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.3390/e21111063. Acesso em: 24 jul. 2024.

    • APA

      Saraiva, E. F., Suzuki, A. K., Milan, L. A., & Pereira, C. A. de B. (2019). An integrated approach for making inference on the number of clusters in a mixture model. Entropy, 21( 11), 1-18. doi:10.3390/e21111063

    • NLM

      Saraiva EF, Suzuki AK, Milan LA, Pereira CA de B. An integrated approach for making inference on the number of clusters in a mixture model [Internet]. Entropy. 2019 ; 21( 11): 1-18.[citado 2024 jul. 24 ] Available from: https://doi.org/10.3390/e21111063

    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA, Pereira CA de B. An integrated approach for making inference on the number of clusters in a mixture model [Internet]. Entropy. 2019 ; 21( 11): 1-18.[citado 2024 jul. 24 ] Available from: https://doi.org/10.3390/e21111063

  • Artigo de periodico

    Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data (2018)

    Saraiva, Erlandson Ferreira; Suzuki, Adriano Kamimura ; Milan, Luis Aparecido

    Source: Entropy. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SARAIVA, Erlandson Ferreira e SUZUKI, Adriano Kamimura e MILAN, Luis Aparecido. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data. Entropy, v. 20, n. 9, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.3390/e20090642. Acesso em: 24 jul. 2024.

    • APA

      Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2018). Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data. Entropy, 20( 9), 1-21. doi:10.3390/e20090642

    • NLM

      Saraiva EF, Suzuki AK, Milan LA. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data [Internet]. Entropy. 2018 ; 20( 9): 1-21.[citado 2024 jul. 24 ] Available from: https://doi.org/10.3390/e20090642

    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data [Internet]. Entropy. 2018 ; 20( 9): 1-21.[citado 2024 jul. 24 ] Available from: https://doi.org/10.3390/e20090642
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