Menu

Filtros : "IME" "Computational Statistics & Data Analysis" Limpar

Filtros

Refine with date range

  • 1

1 - 2 (2 records)

  • Artigo de periodico

    Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis (2021)

    Jiménez, Johnatan Cardona ; Pereira, Carlos Alberto de Bragança

    Source: Computational Statistics & Data Analysis. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, MODELOS LINEARES GENERALIZADOS

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

    • ABNT

      JIMÉNEZ, Johnatan Cardona e PEREIRA, Carlos Alberto de Bragança. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis. Computational Statistics & Data Analysis, v. 163, n. artigo 107297, p. 1-19, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2021.107297. Acesso em: 24 abr. 2024.

    • APA

      Jiménez, J. C., & Pereira, C. A. de B. (2021). Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis. Computational Statistics & Data Analysis, 163( artigo 107297), 1-19. doi:10.1016/j.csda.2021.107297

    • NLM

      Jiménez JC, Pereira CA de B. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis [Internet]. Computational Statistics & Data Analysis. 2021 ; 163( artigo 107297): 1-19.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.csda.2021.107297

    • Vancouver

      Jiménez JC, Pereira CA de B. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis [Internet]. Computational Statistics & Data Analysis. 2021 ; 163( artigo 107297): 1-19.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.csda.2021.107297

  • Artigo de periodico

    New prediction method for the mixed logistic model applied in a marketing problem (2013)

    Tamura, Karin Ayumi ; Giampaoli, Viviana

    Source: Computational Statistics & Data Analysis. Unidade: IME

    Subjects: REGRESSÃO LOGÍSTICA, PASSEIOS ALEATÓRIOS, ESTATÍSTICA APLICADA, MARKETING

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

    • ABNT

      TAMURA, Karin Ayumi e GIAMPAOLI, Viviana. New prediction method for the mixed logistic model applied in a marketing problem. Computational Statistics & Data Analysis, v. 66, p. 202-216, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2013.04.006. Acesso em: 24 abr. 2024.

    • APA

      Tamura, K. A., & Giampaoli, V. (2013). New prediction method for the mixed logistic model applied in a marketing problem. Computational Statistics & Data Analysis, 66, 202-216. doi:10.1016/j.csda.2013.04.006

    • NLM

      Tamura KA, Giampaoli V. New prediction method for the mixed logistic model applied in a marketing problem [Internet]. Computational Statistics & Data Analysis. 2013 ; 66 202-216.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.csda.2013.04.006

    • Vancouver

      Tamura KA, Giampaoli V. New prediction method for the mixed logistic model applied in a marketing problem [Internet]. Computational Statistics & Data Analysis. 2013 ; 66 202-216.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.csda.2013.04.006
  • 1

1 - 2 (2 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024