Filtros : "Communications in Statistics - Simulation and Computation" "INFERÊNCIA BAYESIANA" Limpar

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  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ, Interinstitucional de Pós-Graduação em Estatística

    Subjects: INFERÊNCIA BAYESIANA, PROCESSOS DE POISSON, ANÁLISE DE SOBREVIVÊNCIA

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      CANCHO, Vicente Garibay et al. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610918.2024.2370985. Acesso em: 11 nov. 2025.
    • APA

      Cancho, V. G., Sacramento, M. M., Ortega, E. M. M., Moraes, T. E. N. T., & Cordeiro, G. M. (2024). A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2024.2370985
    • NLM

      Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
    • Vancouver

      Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
  • 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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    • ABNT

      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: 11 nov. 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 nov. 11 ] 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 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, v. 51, n. 11, p. 6572-6590, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 11 nov. 2025.
    • APA

      Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2022). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 51( 11), 6572-6590. doi:10.1080/03610918.2020.1806323
    • NLM

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
    • Vancouver

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
  • Source: Communications in Statistics - Simulation and Computation. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA

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      OLIVEIRA, Ricardo Puziol de e MAZUCHELI, Josmar e ACHCAR, Jorge Alberto. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, v. 50, n. 12, p. 4388–4412, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2019.1643881. Acesso em: 11 nov. 2025.
    • APA

      Oliveira, R. P. de, Mazucheli, J., & Achcar, J. A. (2021). A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, 50( 12), 4388–4412. doi:10.1080/03610918.2019.1643881
    • NLM

      Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
    • Vancouver

      Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS

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      RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, v. 49, n. 12, p. 3240-3253, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1538455. Acesso em: 11 nov. 2025.
    • APA

      Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2020). Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, 49( 12), 3240-3253. doi:10.1080/03610918.2018.1538455
    • NLM

      Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
    • Vancouver

      Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

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

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      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: 11 nov. 2025.
    • 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 2025 nov. 11 ] 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 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES

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      ASSANE, Cachimo Combo e PEREIRA, Basilio de Braganca e PEREIRA, Carlos Alberto de Bragança. Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2641–2654, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1458139. Acesso em: 11 nov. 2025.
    • APA

      Assane, C. C., Pereira, B. de B., & Pereira, C. A. de B. (2019). Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, 48( 9), 2641–2654. doi:10.1080/03610918.2018.1458139
    • NLM

      Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
    • Vancouver

      Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MARTINO, L. e LOUZADA, Francisco. Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, v. 48, n. 3, p. 655-665, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1395039. Acesso em: 11 nov. 2025.
    • APA

      Martino, L., & Louzada, F. (2019). Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, 48( 3), 655-665. doi:10.1080/03610918.2017.1395039
    • NLM

      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
    • Vancouver

      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      HARTMANN, Marcelo e EHLERS, Ricardo Sandes. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5285-5302, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1152365. Acesso em: 11 nov. 2025.
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      Hartmann, M., & Ehlers, R. S. (2017). Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, 46( 7), 5285-5302. doi:10.1080/03610918.2016.1152365
    • NLM

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1152365
    • Vancouver

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1152365
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      ZEVALLOS, Mauricio e GASCO, Loretta e EHLERS, Ricardo Sandes. Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 7942-7956, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1255972. Acesso em: 11 nov. 2025.
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      Zevallos, M., Gasco, L., & Ehlers, R. S. (2017). Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, 46( 10), 7942-7956. doi:10.1080/03610918.2016.1255972
    • NLM

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
    • Vancouver

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1255972
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MAZUCHELI, Josmar e GHITANY, M. E e LOUZADA, Francisco. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5627-5645, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1171345. Acesso em: 11 nov. 2025.
    • APA

      Mazucheli, J., Ghitany, M. E., & Louzada, F. (2017). Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, 46( 7), 5627-5645. doi:10.1080/03610918.2016.1171345
    • NLM

      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1171345
    • Vancouver

      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1171345
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS

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      MILANI, Eder e ANDRADE, Marinho Gomes de e DINIZ, Carlos. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5819-5835, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2015.1100736. Acesso em: 11 nov. 2025.
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      Milani, E., Andrade, M. G. de, & Diniz, C. (2017). Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, 46( 7), 5819-5835. doi:10.1080/03610918.2015.1100736
    • NLM

      Milani E, Andrade MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2015.1100736
    • Vancouver

      Milani E, Andrade MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2015.1100736
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      ANDRADE, Breno Silveira de e LESKOW, Jacek e ANDRADE, Marinho Gomes de. Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, v. 46, n. 9, p. 7166-7179, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1230215. Acesso em: 11 nov. 2025.
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      Andrade, B. S. de, Leskow, J., & Andrade, M. G. de. (2017). Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, 46( 9), 7166-7179. doi:10.1080/03610918.2016.1230215
    • NLM

      Andrade BS de, Leskow J, Andrade MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1230215
    • Vancouver

      Andrade BS de, Leskow J, Andrade MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2016.1230215
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ

    Assunto: INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay e LOUZADA, Francisco e ORTEGA, Edwin Moisés Marcos. The power series cure rate model: an application to a cutaneous melanoma data. Communications in Statistics - Simulation and Computation, v. 42, n. 3, p. 586-602, 2013Tradução . . Disponível em: https://doi.org/10.1080/03610918.2011.639971. Acesso em: 11 nov. 2025.
    • APA

      Cancho, V. G., Louzada, F., & Ortega, E. M. M. (2013). The power series cure rate model: an application to a cutaneous melanoma data. Communications in Statistics - Simulation and Computation, 42( 3), 586-602. doi:10.1080/03610918.2011.639971
    • NLM

      Cancho VG, Louzada F, Ortega EMM. The power series cure rate model: an application to a cutaneous melanoma data [Internet]. Communications in Statistics - Simulation and Computation. 2013 ; 42( 3): 586-602.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2011.639971
    • Vancouver

      Cancho VG, Louzada F, Ortega EMM. The power series cure rate model: an application to a cutaneous melanoma data [Internet]. Communications in Statistics - Simulation and Computation. 2013 ; 42( 3): 586-602.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1080/03610918.2011.639971

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