Filtros : "Journal of Applied Statistics" "MÉTODOS MCMC" Removido: "LOUZADA NETO, FRANCISCO" Limpar

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  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 12 ago. 2024.
    • APA

      Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392
    • NLM

      Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
    • Vancouver

      Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, ANÁLISE MULTIVARIADA, MÉTODOS MCMC

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    • ABNT

      FIORUCI, José Augusto e EHLERS, Ricardo Sandes e ANDRADE, Marinho Gomes de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, v. 41, n. 2, p. 320-331, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.839635. Acesso em: 12 ago. 2024.
    • APA

      Fioruci, J. A., Ehlers, R. S., & Andrade, M. G. de. (2014). Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, 41( 2), 320-331. doi:10.1080/02664763.2013.839635
    • NLM

      Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2013.839635
    • Vancouver

      Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2013.839635
  • Source: Journal of Applied Statistics. Unidade: FEARP

    Subjects: DINÂMICA DAS ESTRUTURAS, MÉTODOS MCMC, INFERÊNCIA BAYESIANA

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    • ABNT

      LAURINI, Marcio Poletti. Dynamic functional data analysis with non-parametric state space models. Journal of Applied Statistics, v. 41, n. 1, p. 142-163, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.838663. Acesso em: 12 ago. 2024.
    • APA

      Laurini, M. P. (2014). Dynamic functional data analysis with non-parametric state space models. Journal of Applied Statistics, 41( 1), 142-163. doi:10.1080/02664763.2013.838663
    • NLM

      Laurini MP. Dynamic functional data analysis with non-parametric state space models [Internet]. Journal of Applied Statistics. 2014 ; 41( 1): 142-163.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2013.838663
    • Vancouver

      Laurini MP. Dynamic functional data analysis with non-parametric state space models [Internet]. Journal of Applied Statistics. 2014 ; 41( 1): 142-163.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2013.838663

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