Filtros : "Financiamento FAPESP" "Indexado no MathSciNet" "GUZMÁN, JORGE LUIS BAZÁN" Limpar

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  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DEPRESSÃO

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    • ABNT

      FERNANDES, Renato da Silva e BAZÁN GUZMÁN, Jorge Luis e CURI, Mariana. A Bayesian approach for the G-DINA model. Brazilian Journal of Probability and Statistics, v. 38, n. 4, p. 503-530, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-BJPS616. Acesso em: 08 out. 2025.
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      Fernandes, R. da S., Bazán Guzmán, J. L., & Curi, M. (2024). A Bayesian approach for the G-DINA model. Brazilian Journal of Probability and Statistics, 38( 4), 503-530. doi:10.1214/24-BJPS616
    • NLM

      Fernandes R da S, Bazán Guzmán JL, Curi M. A Bayesian approach for the G-DINA model [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 4): 503-530.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/24-BJPS616
    • Vancouver

      Fernandes R da S, Bazán Guzmán JL, Curi M. A Bayesian approach for the G-DINA model [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 4): 503-530.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/24-BJPS616
  • Source: Canadian Journal of Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÃO T, SIMULAÇÃO (ESTATÍSTICA), INFERÊNCIA BAYESIANA

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      ORDOÑEZ, Jose A et al. Penalized complexity priors for the skewness parameter of power links. Canadian Journal of Statistics, v. 52, n. 1, p. 98-117, 2024Tradução . . Disponível em: https://doi.org/10.1002/cjs.11769. Acesso em: 08 out. 2025.
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      Ordoñez, J. A., Prates, M. O., Bazán Guzmán, J. L., & Lachos, V. H. (2024). Penalized complexity priors for the skewness parameter of power links. Canadian Journal of Statistics, 52( 1), 98-117. doi:10.1002/cjs.11769
    • NLM

      Ordoñez JA, Prates MO, Bazán Guzmán JL, Lachos VH. Penalized complexity priors for the skewness parameter of power links [Internet]. Canadian Journal of Statistics. 2024 ; 52( 1): 98-117.[citado 2025 out. 08 ] Available from: https://doi.org/10.1002/cjs.11769
    • Vancouver

      Ordoñez JA, Prates MO, Bazán Guzmán JL, Lachos VH. Penalized complexity priors for the skewness parameter of power links [Internet]. Canadian Journal of Statistics. 2024 ; 52( 1): 98-117.[citado 2025 out. 08 ] Available from: https://doi.org/10.1002/cjs.11769
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE DESEMPENHO, ESQUIZOFRENIA, REGISTROS MÉDICOS, MÉTODOS MCMC

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      HUAYANAY, Alex de la Cruz e BAZÁN GUZMÁN, Jorge Luis e DINIZ, Carlos Alberto Ribeiro. Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 365-392, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS572. Acesso em: 08 out. 2025.
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      Huayanay, A. de la C., Bazán Guzmán, J. L., & Diniz, C. A. R. (2023). Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, 37( 2), 365-392. doi:10.1214/23-BJPS572
    • NLM

      Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/23-BJPS572
    • Vancouver

      Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/23-BJPS572
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Subjects: INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, SOFTWARES, TEORIA DE RESPOSTA AO ITEM

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      SILVA, Marcelo Andrade da et al. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, v. 52, n. 11, p. 5178-5194, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1977951. Acesso em: 08 out. 2025.
    • APA

      Silva, M. A. da, Liu, R., Huggins-Manley, A. C., & Bazán Guzmán, J. L. (2023). Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, 52( 11), 5178-5194. doi:10.1080/03610918.2021.1977951
    • NLM

      Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
    • Vancouver

      Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
  • Source: Biometrical Journal. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: FRAMEWORKS, INFERÊNCIA BAYESIANA, RESPOSTAS

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      OLIVEIRA, Eduardo Schneider Bueno de e WANG, Xiaojing e BAZÁN GUZMÁN, Jorge Luis. A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, v. 65, n. 4, p. 1-22, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202100222. Acesso em: 08 out. 2025.
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      Oliveira, E. S. B. de, Wang, X., & Bazán Guzmán, J. L. (2023). A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, 65( 4), 1-22. doi:10.1002/bimj.202100222
    • NLM

      Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1002/bimj.202100222
    • Vancouver

      Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1002/bimj.202100222
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS

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      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: 08 out. 2025.
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      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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: TEORIA DE RESPOSTA AO ITEM, INFERÊNCIA BAYESIANA, SIMULAÇÃO, COMPLEXIDADE

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      BAZÁN GUZMÁN, Jorge Luis et al. Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS558. Acesso em: 08 out. 2025.
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      Bazán Guzmán, J. L., Ari, S. E. F., Azevedo, C. L. N., & Dey, D. K. (2023). Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions. Brazilian Journal of Probability and Statistics, 37( 1), 1-25. doi:10.1214/22-BJPS558
    • NLM

      Bazán Guzmán JL, Ari SEF, Azevedo CLN, Dey DK. Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 1-25.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/22-BJPS558
    • Vancouver

      Bazán Guzmán JL, Ari SEF, Azevedo CLN, Dey DK. Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 1-25.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/22-BJPS558
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC

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      SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 08 out. 2025.
    • APA

      Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505
    • NLM

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/21-BJPS505
    • Vancouver

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 out. 08 ] Available from: https://doi.org/10.1214/21-BJPS505

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