Filtros : "Gibbs sampler" Limpar

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  • Source: Sankhya A. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA

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      TADDEO, Marcelo Magalhães e MORETTIN, Pedro Alberto. Bayesian P-splines applied to semiparametric models with errors fellowing a scale mixture of normals. Sankhya A, v. 85, p. 1331–1355, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13171-022-00290-7. Acesso em: 26 jan. 2026.
    • APA

      Taddeo, M. M., & Morettin, P. A. (2023). Bayesian P-splines applied to semiparametric models with errors fellowing a scale mixture of normals. Sankhya A, 85, 1331–1355. doi:10.1007/s13171-022-00290-7
    • NLM

      Taddeo MM, Morettin PA. Bayesian P-splines applied to semiparametric models with errors fellowing a scale mixture of normals [Internet]. Sankhya A. 2023 ; 85 1331–1355.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/s13171-022-00290-7
    • Vancouver

      Taddeo MM, Morettin PA. Bayesian P-splines applied to semiparametric models with errors fellowing a scale mixture of normals [Internet]. Sankhya A. 2023 ; 85 1331–1355.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/s13171-022-00290-7
  • Source: Quality Engineering. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, SIMULAÇÃO (ESTATÍSTICA)

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    • ABNT

      CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, v. 33, n. 4, p. 571-580, 2021Tradução . . Disponível em: https://doi.org/10.1080/08982112.2021.1931317. Acesso em: 26 jan. 2026.
    • APA

      Castro, M. de, & Galea Rojas, M. J. (2021). Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, 33( 4), 571-580. doi:10.1080/08982112.2021.1931317
    • NLM

      Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
    • Vancouver

      Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
  • Source: Animal Science Journal. Unidade: FMRP

    Subjects: GENÓTIPOS, SENSIBILIDADE E ESPECIFICIDADE, SEXO

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      ARAUJO NETO, Francisco Ribeiro de et al. Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference. Animal Science Journal, v. 89, n. 7, p. 939-945, 2018Tradução . . Disponível em: https://doi.org/10.1111/asj.12994. Acesso em: 26 jan. 2026.
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      Araujo Neto, F. R. de, Pegolo, N. T., Borquis, R. R. A., Pessoa, M. C., Bonifácio, A., Lôbo, R. B., & Oliveira, H. N. de. (2018). Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference. Animal Science Journal, 89( 7), 939-945. doi:10.1111/asj.12994
    • NLM

      Araujo Neto FR de, Pegolo NT, Borquis RRA, Pessoa MC, Bonifácio A, Lôbo RB, Oliveira HN de. Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference [Internet]. Animal Science Journal. 2018 ; 89( 7): 939-945.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1111/asj.12994
    • Vancouver

      Araujo Neto FR de, Pegolo NT, Borquis RRA, Pessoa MC, Bonifácio A, Lôbo RB, Oliveira HN de. Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference [Internet]. Animal Science Journal. 2018 ; 89( 7): 939-945.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1111/asj.12994
  • Source: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

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    • ABNT

      CASTRO, Mário de e CHEN, Ming-Hui e ZHANG, Yuanye. Bayesian frailty models for multi-state survival data. Statistical applications from clinical trials and personalized medicine to finance and business analytics. Tradução . Cham: Springer, 2016. p. 351 . Disponível em: https://doi.org/10.1007/978-3-319-42568-9_4. Acesso em: 26 jan. 2026.
    • APA

      Castro, M. de, Chen, M. -H., & Zhang, Y. (2016). Bayesian frailty models for multi-state survival data. In Statistical applications from clinical trials and personalized medicine to finance and business analytics (p. 351 ). Cham: Springer. doi:10.1007/978-3-319-42568-9_4
    • NLM

      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
    • Vancouver

      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
  • Source: International Journal of Statistics and Economics. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, PROCESSOS ESTOCÁSTICOS

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      SAFADI, Thelma e ALENCAR, Airlane Pereira e MORETTIN, Pedro Alberto. The dynamic factor model: an application to stock market indexes. International Journal of Statistics and Economics, v. 7, n. A11, p. 127–141, 2011Tradução . . Disponível em: http://www.ceser.in/ceserp/index.php/bse/article/view/2114. Acesso em: 26 jan. 2026.
    • APA

      Safadi, T., Alencar, A. P., & Morettin, P. A. (2011). The dynamic factor model: an application to stock market indexes. International Journal of Statistics and Economics, 7( A11), 127–141. Recuperado de http://www.ceser.in/ceserp/index.php/bse/article/view/2114
    • NLM

      Safadi T, Alencar AP, Morettin PA. The dynamic factor model: an application to stock market indexes [Internet]. International Journal of Statistics and Economics. 2011 ; 7( A11): 127–141.[citado 2026 jan. 26 ] Available from: http://www.ceser.in/ceserp/index.php/bse/article/view/2114
    • Vancouver

      Safadi T, Alencar AP, Morettin PA. The dynamic factor model: an application to stock market indexes [Internet]. International Journal of Statistics and Economics. 2011 ; 7( A11): 127–141.[citado 2026 jan. 26 ] Available from: http://www.ceser.in/ceserp/index.php/bse/article/view/2114
  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE MULTIVARIADA

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      ARELLANO-VALLE, Reinaldo Boris e BOLFARINE, Heleno e LACHOS, Victor Hugo. Bayesian inference for skew-normal linear mixed models. Journal of Applied Statistics, v. 34, n. 6, p. 663-682, 2007Tradução . . Disponível em: https://doi.org/10.1080/02664760701236905. Acesso em: 26 jan. 2026.
    • APA

      Arellano-Valle, R. B., Bolfarine, H., & Lachos, V. H. (2007). Bayesian inference for skew-normal linear mixed models. Journal of Applied Statistics, 34( 6), 663-682. doi:10.1080/02664760701236905
    • NLM

      Arellano-Valle RB, Bolfarine H, Lachos VH. Bayesian inference for skew-normal linear mixed models [Internet]. Journal of Applied Statistics. 2007 ; 34( 6): 663-682.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1080/02664760701236905
    • Vancouver

      Arellano-Valle RB, Bolfarine H, Lachos VH. Bayesian inference for skew-normal linear mixed models [Internet]. Journal of Applied Statistics. 2007 ; 34( 6): 663-682.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1080/02664760701236905
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA

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      LOUZADA, Francisco e MAZUCHELI, Josmar e ACHCAR, Jorge Alberto. Mixture hazard models for lifetime data. Biometrical Journal, v. 44, n. Ja 2002, p. 3-14, 2002Tradução . . Disponível em: https://doi.org/10.1002/1521-4036(200201)44:1%3C3::AID-BIMJ3%3E3.0.CO;2-D. Acesso em: 26 jan. 2026.
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      Louzada, F., Mazucheli, J., & Achcar, J. A. (2002). Mixture hazard models for lifetime data. Biometrical Journal, 44( Ja 2002), 3-14. doi:10.1002/1521-4036(200201)44:1%3C3::AID-BIMJ3%3E3.0.CO;2-D
    • NLM

      Louzada F, Mazucheli J, Achcar JA. Mixture hazard models for lifetime data [Internet]. Biometrical Journal. 2002 ; 44( Ja 2002): 3-14.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1002/1521-4036(200201)44:1%3C3::AID-BIMJ3%3E3.0.CO;2-D
    • Vancouver

      Louzada F, Mazucheli J, Achcar JA. Mixture hazard models for lifetime data [Internet]. Biometrical Journal. 2002 ; 44( Ja 2002): 3-14.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1002/1521-4036(200201)44:1%3C3::AID-BIMJ3%3E3.0.CO;2-D

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