Filtros : "Indexado no Scopus" "Bazán Guzmán, Jorge Luis" "ICMC" Removidos: " GRU020" "University of California (UC)" "Holanda" "Journal of the Brazilian Computer Society" "UFSC" Limpar

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  • Fonte: Statistical Methods in Medical Research. Unidade: ICMC

    Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ROBUSTEZ, VEROSSIMILHANÇA

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      BAYES, Cristian L e BAZÁN GUZMÁN, Jorge Luis e VALDIVIESO, Luis. A robust regression model for bounded count health data. Statistical Methods in Medical Research, 2024Tradução . . Disponível em: https://doi.org/10.1177/09622802241259178. Acesso em: 02 out. 2024.
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      Bayes, C. L., Bazán Guzmán, J. L., & Valdivieso, L. (2024). A robust regression model for bounded count health data. Statistical Methods in Medical Research. doi:10.1177/09622802241259178
    • NLM

      Bayes CL, Bazán Guzmán JL, Valdivieso L. A robust regression model for bounded count health data [Internet]. Statistical Methods in Medical Research. 2024 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1177/09622802241259178
    • Vancouver

      Bayes CL, Bazán Guzmán JL, Valdivieso L. A robust regression model for bounded count health data [Internet]. Statistical Methods in Medical Research. 2024 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1177/09622802241259178
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM

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      MARANA, Fernanda Tostes et al. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, v. 245, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.122981. Acesso em: 02 out. 2024.
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      Marana, F. T., Fernandes, R. da S., Bazán Guzmán, J. L., Carvalho, A. C. P. de L. F. de, & Cúri, M. (2024). What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, 245, 1-12. doi:10.1016/j.eswa.2023.122981
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      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
    • Vancouver

      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
  • Fonte: Canadian Journal of Statistics. Unidade: ICMC

    Assuntos: 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: 02 out. 2024.
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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
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      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1002/cjs.11769
  • Fonte: Applied Measurement in Education. Unidades: ICMC, ESALQ

    Assuntos: ESTATÍSTICA ESCOLAR, ESTUDANTES DE ENSINO FUNDAMENTAL, MATRIZES, MODELOS MATEMÁTICOS, SIMULAÇÃO, TEORIA DE RESPOSTA AO ITEM

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      SILVA, Marcelo Andrade da et al. A method of empirical Q-matrix validation for multidimensional item response theory. Applied Measurement in Education, v. 37, n. 2, p. 177-190, 2024Tradução . . Disponível em: https://doi.org/10.1080/08957347.2024.2345597. Acesso em: 02 out. 2024.
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      Silva, M. A. da, Huggins-Manley, A. C., Bazán Guzmán, J. L., & Benedict, A. (2024). A method of empirical Q-matrix validation for multidimensional item response theory. Applied Measurement in Education, 37( 2), 177-190. doi:10.1080/08957347.2024.2345597
    • NLM

      Silva MA da, Huggins-Manley AC, Bazán Guzmán JL, Benedict A. A method of empirical Q-matrix validation for multidimensional item response theory [Internet]. Applied Measurement in Education. 2024 ; 37( 2): 177-190.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/08957347.2024.2345597
    • Vancouver

      Silva MA da, Huggins-Manley AC, Bazán Guzmán JL, Benedict A. A method of empirical Q-matrix validation for multidimensional item response theory [Internet]. Applied Measurement in Education. 2024 ; 37( 2): 177-190.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/08957347.2024.2345597
  • Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Assuntos: 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: 02 out. 2024.
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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
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      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1214/23-BJPS572
  • Fonte: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR

    Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, REGISTROS MÉDICOS

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      ALVES, Jessica S. B e BAZÁN GUZMÁN, Jorge Luis e ARELLANO-VALLE, Reinaldo Boris. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data. Biometrical Journal, v. 65, n. 3, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202100325. Acesso em: 02 out. 2024.
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      Alves, J. S. B., Bazán Guzmán, J. L., & Arellano-Valle, R. B. (2023). Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data. Biometrical Journal, 65( 3), 1-18. doi:10.1002/bimj.202100325
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      Alves JSB, Bazán Guzmán JL, Arellano-Valle RB. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data [Internet]. Biometrical Journal. 2023 ; 65( 3): 1-18.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/bimj.202100325
    • Vancouver

      Alves JSB, Bazán Guzmán JL, Arellano-Valle RB. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data [Internet]. Biometrical Journal. 2023 ; 65( 3): 1-18.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/bimj.202100325
  • Fonte: Journal of Applied Statistics. Unidade: ICMC

    Assuntos: 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: 02 out. 2024.
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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
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      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 out. 02 ] 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 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
  • Fonte: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Assuntos: 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: 02 out. 2024.
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      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
  • Fonte: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR

    Assuntos: 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: 02 out. 2024.
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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
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      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1002/bimj.202100222
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assuntos: 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: 02 out. 2024.
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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
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      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1214/22-BJPS558
  • Fonte: Journal of Educational and Behavioral Statistics. Unidade: ICMC

    Assuntos: TEORIA DE RESPOSTA AO ITEM, INFERÊNCIA BAYESIANA, SIMULAÇÃO

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      MOLENAAR, Dylan e CÚRI, Mariana e BAZÁN GUZMÁN, Jorge Luis. Zero and one inflated item response theory models for bounded continuous data. Journal of Educational and Behavioral Statistics, v. 47, n. 6, p. 693-735, 2022Tradução . . Disponível em: https://doi.org/10.3102/10769986221108455. Acesso em: 02 out. 2024.
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      Molenaar, D., Cúri, M., & Bazán Guzmán, J. L. (2022). Zero and one inflated item response theory models for bounded continuous data. Journal of Educational and Behavioral Statistics, 47( 6), 693-735. doi:10.3102/10769986221108455
    • NLM

      Molenaar D, Cúri M, Bazán Guzmán JL. Zero and one inflated item response theory models for bounded continuous data [Internet]. Journal of Educational and Behavioral Statistics. 2022 ; 47( 6): 693-735.[citado 2024 out. 02 ] Available from: https://doi.org/10.3102/10769986221108455
    • Vancouver

      Molenaar D, Cúri M, Bazán Guzmán JL. Zero and one inflated item response theory models for bounded continuous data [Internet]. Journal of Educational and Behavioral Statistics. 2022 ; 47( 6): 693-735.[citado 2024 out. 02 ] Available from: https://doi.org/10.3102/10769986221108455
  • Fonte: Computational Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA

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      OLIVEIRA, Eduardo Schneider Bueno de et al. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler. Computational Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01297-2. Acesso em: 02 out. 2024.
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      Oliveira, E. S. B. de, Castro, M. de, Bayes, C., & Bazán Guzmán, J. L. (2022). Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler. Computational Statistics. doi:10.1007/s00180-022-01297-2
    • NLM

      Oliveira ESB de, Castro M de, Bayes C, Bazán Guzmán JL. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler [Internet]. Computational Statistics. 2022 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s00180-022-01297-2
    • Vancouver

      Oliveira ESB de, Castro M de, Bayes C, Bazán Guzmán JL. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler [Internet]. Computational Statistics. 2022 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s00180-022-01297-2
  • Fonte: Communications for Statistical Applications and Methods. Unidades: ICMC, IME

    Assuntos: VEROSSIMILHANÇA, ALGORITMOS, DISTRIBUIÇÃO T, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      LACHOS, Victor Hugo et al. The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, v. 29, n. 3, p. 333-351, 2022Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2022.29.3.333. Acesso em: 02 out. 2024.
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      Lachos, V. H., Bazán Guzmán, J. L., Castro, L. M., & Park, J. (2022). The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, 29( 3), 333-351. doi:10.29220/CSAM.2022.29.3.333
    • NLM

      Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 out. 02 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333
    • Vancouver

      Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 out. 02 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assuntos: 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: 02 out. 2024.
    • 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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1214/21-BJPS505
  • Fonte: International Statistical Review. Unidades: ICMC, IME

    Assunto: ESTATÍSTICA

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      RUGGERI, Fabrizio et al. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, v. 89, n. 3, p. 435-446, 2021Tradução . . Disponível em: https://doi.org/10.1111/insr.12472. Acesso em: 02 out. 2024.
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      Ruggeri, F., Bolfarine, H., Bazán Guzmán, J. L., Arellano-Valle, R. B., Dávila, V. H. L., & Castro, M. de. (2021). 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, 89( 3), 435-446. doi:10.1111/insr.12472
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      Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 02 ] Available from: https://doi.org/10.1111/insr.12472
    • Vancouver

      Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 02 ] Available from: https://doi.org/10.1111/insr.12472
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      NOGAROTTO, Danilo Covaes e AZEVEDO, Caio Lucidius Naberezny e BAZÁN GUZMÁN, Jorge Luis. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 304-322, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS423. Acesso em: 02 out. 2024.
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      Nogarotto, D. C., Azevedo, C. L. N., & Bazán Guzmán, J. L. (2020). Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, 34( 2), 304-322. doi:10.1214/18-BJPS423
    • NLM

      Nogarotto DC, Azevedo CLN, Bazán Guzmán JL. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2024 out. 02 ] Available from: https://doi.org/10.1214/18-BJPS423
    • Vancouver

      Nogarotto DC, Azevedo CLN, Bazán Guzmán JL. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2024 out. 02 ] Available from: https://doi.org/10.1214/18-BJPS423
  • Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Assuntos: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO LOGÍSTICA, GEOMETRIA E MODELAGEM COMPUTACIONAL, MATEMÁTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE MULTIVARIADA, REGRESSÃO LOGÍSTICA

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    • ABNT

      RODRIGUES, Josemar e BAZÁN GUZMÁN, Jorge Luis e SUZUKI, Adriano Kamimura. A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, v. 49, n. 3, p. 738-754, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549254. Acesso em: 02 out. 2024.
    • APA

      Rodrigues, J., Bazán Guzmán, J. L., & Suzuki, A. K. (2020). A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, 49( 3), 738-754. doi:10.1080/03610926.2018.1549254
    • NLM

      Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
    • Vancouver

      Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
  • Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Assuntos: INFERÊNCIA BAYESIANA, CRÉDITO, RESPOSTAS, TEORIA DE RESPOSTA AO ITEM, MODELOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO DE SISTEMAS

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    • ABNT

      SILVA, Marcelo A. da e BAZÁN GUZMÁN, Jorge Luis e HUGGINS-MANLEY, Anne Corinne. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, v. Fe 2019, n. 2, p. 601-620, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1390126. Acesso em: 02 out. 2024.
    • APA

      Silva, M. A. da, Bazán Guzmán, J. L., & Huggins-Manley, A. C. (2019). Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, Fe 2019( 2), 601-620. doi:10.1080/03610918.2017.1390126
    • NLM

      Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
    • Vancouver

      Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
  • Fonte: Journal of the Korean Statistical Society. Unidade: ICMC

    Assuntos: TEORIA DE RESPOSTA AO ITEM, ANÁLISE DE DADOS

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    • ABNT

      BAZÁN GUZMÁN, Jorge Luis. Four comments for the paper from Liu et al. (2019). Journal of the Korean Statistical Society, v. 48, p. 513-514, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jkss.2019.07.005. Acesso em: 02 out. 2024.
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      Bazán Guzmán, J. L. (2019). Four comments for the paper from Liu et al. (2019). Journal of the Korean Statistical Society, 48, 513-514. doi:10.1016/j.jkss.2019.07.005
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      Bazán Guzmán JL. Four comments for the paper from Liu et al. (2019) [Internet]. Journal of the Korean Statistical Society. 2019 ;48 513-514.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.jkss.2019.07.005
    • Vancouver

      Bazán Guzmán JL. Four comments for the paper from Liu et al. (2019) [Internet]. Journal of the Korean Statistical Society. 2019 ;48 513-514.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.jkss.2019.07.005

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