Filtros : "Brazilian Journal of Probability and Statistics" "2020" Limpar

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

    Subjects: INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE HARMÔNICA EM ESPAÇOS EUCLIDIANOS

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    • ABNT

      MEDINA, Francyelle L. e MORETTIN, Pedro Alberto e TOLOI, Clelia Maria de Castro. Copula estimation through wavelets. Brazilian Journal of Probability and Statistics, v. 34, n. 3, p. 439-463, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS449. Acesso em: 11 nov. 2025.
    • APA

      Medina, F. L., Morettin, P. A., & Toloi, C. M. de C. (2020). Copula estimation through wavelets. Brazilian Journal of Probability and Statistics, 34( 3), 439-463. doi:10.1214/19-BJPS449
    • NLM

      Medina FL, Morettin PA, Toloi CM de C. Copula estimation through wavelets [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 439-463.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS449
    • Vancouver

      Medina FL, Morettin PA, Toloi CM de C. Copula estimation through wavelets [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 439-463.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS449
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), EQUAÇÕES DIFERENCIAIS FUNCIONAIS, ANÁLISE DE SOBREVIVÊNCIA

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      KOLEV, Nikolai. Discrete line integral on uniform grids: probabilistic interpretation and applications. Brazilian Journal of Probability and Statistics, v. 34, n. 4, p. 821-843, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS454. Acesso em: 11 nov. 2025.
    • APA

      Kolev, N. (2020). Discrete line integral on uniform grids: probabilistic interpretation and applications. Brazilian Journal of Probability and Statistics, 34( 4), 821-843. doi:10.1214/19-BJPS454
    • NLM

      Kolev N. Discrete line integral on uniform grids: probabilistic interpretation and applications [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 4): 821-843.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS454
    • Vancouver

      Kolev N. Discrete line integral on uniform grids: probabilistic interpretation and applications [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 4): 821-843.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS454
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, AMOSTRAGEM, MÉTODO DE MONTE CARLO

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      SARAIVA, Erlandson Ferreira e SUZUKI, Adriano Kamimura e MILAN, Luis Aparecido. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 323-344, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS425. Acesso em: 11 nov. 2025.
    • APA

      Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2020). A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, 34( 2), 323-344. doi:10.1214/18-BJPS425
    • NLM

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/18-BJPS425
    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/18-BJPS425
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: TESTES DE HIPÓTESES, ANÁLISE MULTIVARIADA, BIOESTATÍSTICA

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      NOBRE, Juvêncio Santos e SINGER, Júlio da Motta e BATISTA, Maria Jacqueline. Improved U-tests for variance components in one-way randomeffectsmodels. Brazilian Journal of Probability and Statistics, v. 34, n. 3, p. 464-477, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS436. Acesso em: 11 nov. 2025.
    • APA

      Nobre, J. S., Singer, J. da M., & Batista, M. J. (2020). Improved U-tests for variance components in one-way randomeffectsmodels. Brazilian Journal of Probability and Statistics, 34( 3), 464-477. doi:10.1214/19-BJPS436
    • NLM

      Nobre JS, Singer J da M, Batista MJ. Improved U-tests for variance components in one-way randomeffectsmodels [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 464-477.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS436
    • Vancouver

      Nobre JS, Singer J da M, Batista MJ. Improved U-tests for variance components in one-way randomeffectsmodels [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 464-477.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS436
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: 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: 11 nov. 2025.
    • APA

      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 2025 nov. 11 ] 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 2025 nov. 11 ] Available from: https://doi.org/10.1214/18-BJPS423
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: PROCESSOS ALEATÓRIOS, PROCESSOS DE RAMIFICAÇÃO, MECÂNICA ESTATÍSTICA

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      JUNIOR, Valdivino V. e MACHADO, Fábio Prates e RAVISHANKAR, Krishnamurthi. The cone percolation model on Galton–Watson and on spherically symmetric trees. Brazilian Journal of Probability and Statistics, v. 34, n. 3, p. 594-612, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS441. Acesso em: 11 nov. 2025.
    • APA

      Junior, V. V., Machado, F. P., & Ravishankar, K. (2020). The cone percolation model on Galton–Watson and on spherically symmetric trees. Brazilian Journal of Probability and Statistics, 34( 3), 594-612. doi:10.1214/19-BJPS441
    • NLM

      Junior VV, Machado FP, Ravishankar K. The cone percolation model on Galton–Watson and on spherically symmetric trees [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 594-612.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS441
    • Vancouver

      Junior VV, Machado FP, Ravishankar K. The cone percolation model on Galton–Watson and on spherically symmetric trees [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 594-612.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/19-BJPS441

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