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  • Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

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

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      SILVA, Marcelo Andrade da et al. Multidimensional graded response models with hierarchical structure and Q-matrix. Brazilian Journal of Probability and Statistics, v. 39, n. 1, p. 19–38, 2025Tradução . . Disponível em: https://doi.org/10.1214/25-BJPS622. Acesso em: 19 nov. 2025.
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      Silva, M. A. da, Guzmán, J. L. B., Liu, R., Possan, E., & Vincenzi, S. L. (2025). Multidimensional graded response models with hierarchical structure and Q-matrix. Brazilian Journal of Probability and Statistics, 39( 1), 19–38. doi:10.1214/25-BJPS622
    • NLM

      Silva MA da, Guzmán JLB, Liu R, Possan E, Vincenzi SL. Multidimensional graded response models with hierarchical structure and Q-matrix [Internet]. Brazilian Journal of Probability and Statistics. 2025 ; 39( 1): 19–38.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/25-BJPS622
    • Vancouver

      Silva MA da, Guzmán JLB, Liu R, Possan E, Vincenzi SL. Multidimensional graded response models with hierarchical structure and Q-matrix [Internet]. Brazilian Journal of Probability and Statistics. 2025 ; 39( 1): 19–38.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/25-BJPS622
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA

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      PATIÑO, Elizabeth González e TUNES, Gisela e TANAKA, Nelson Ithiro. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula. Brazilian Journal of Probability and Statistics, v. 38, n. 2, p. 302-320, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-bjps606. Acesso em: 19 nov. 2025.
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      Patiño, E. G., Tunes, G., & Tanaka, N. I. (2024). Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula. Brazilian Journal of Probability and Statistics, 38( 2), 302-320. doi:10.1214/24-bjps606
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      Patiño EG, Tunes G, Tanaka NI. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 302-320.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/24-bjps606
    • Vancouver

      Patiño EG, Tunes G, Tanaka NI. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 302-320.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/24-bjps606
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DEPRESSÃO

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      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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1214/24-BJPS616
  • Source: Brazilian Journal of Probability and Statistics. Unidades: IME, ICMC

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      ARELLANO-VALLE, Reinaldo Boris et al. Preface to the special issue. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1214/23-BJPS372PRE. Acesso em: 19 nov. 2025. , 2023
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      Arellano-Valle, R. B., Balakrishnan, N., Branco, M. D. 'E., & Rodrigues, J. (2023). Preface to the special issue. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1214/23-BJPS372PRE
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      Arellano-Valle RB, Balakrishnan N, Branco MD'E, Rodrigues J. Preface to the special issue. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 247-248.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
    • Vancouver

      Arellano-Valle RB, Balakrishnan N, Branco MD'E, Rodrigues J. Preface to the special issue. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 247-248.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
  • Source: Brazilian Journal of Probability and Statistics. Unidade: FMRP

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

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      OLIVEIRA, Ricardo Puziol de et al. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 55-72, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS560. Acesso em: 19 nov. 2025.
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      Oliveira, R. P. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2023). A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, 37( 1), 55-72. doi:10.1214/22-BJPS560
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      Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS560
    • Vancouver

      Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS560
  • 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: 19 nov. 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
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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 2025 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS558
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: PROBABILIDADE

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      KOLEV, Nikolai e MULINACCI, Sabrina. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 685-691, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS548. Acesso em: 19 nov. 2025.
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      Kolev, N., & Mulinacci, S. (2022). Probability solutions of the Sincov’s functional equation on the set of nonnegative integers. Brazilian Journal of Probability and Statistics, 36( 4), 685-691. doi:10.1214/22-BJPS548
    • NLM

      Kolev N, Mulinacci S. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 685-691.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS548
    • Vancouver

      Kolev N, Mulinacci S. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 685-691.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS548
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: SÉRIES DE FOURIER, GEOESTATÍSTICA

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      SASSI, Gilberto e CHIANN, Chang. Estimation of trace-variogram using Legendre–Gauss quadrature. Brazilian Journal of Probability and Statistics, v. 36, n. 3, p. 482-491, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS536. Acesso em: 19 nov. 2025.
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      Sassi, G., & Chiann, C. (2022). Estimation of trace-variogram using Legendre–Gauss quadrature. Brazilian Journal of Probability and Statistics, 36( 3), 482-491. doi:10.1214/22-BJPS536
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      Sassi G, Chiann C. Estimation of trace-variogram using Legendre–Gauss quadrature [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 3): 482-491.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS536
    • Vancouver

      Sassi G, Chiann C. Estimation of trace-variogram using Legendre–Gauss quadrature [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 3): 482-491.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/22-BJPS536
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      CORDEIRO, Gauss Moutinho e LABOURIAU, Rodrigo e BOTTER, Denise Aparecida. An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 2-20, 2021Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS458. Acesso em: 19 nov. 2025.
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      Cordeiro, G. M., Labouriau, R., & Botter, D. A. (2021). An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, 35( 1), 2-20. doi:10.1214/19-BJPS458
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      Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/19-BJPS458
    • Vancouver

      Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/19-BJPS458
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA

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      COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 19 nov. 2025.
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      Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470
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      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS470
    • Vancouver

      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS470
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      MAGALHÃES, Tiago Maia e BOTTER, Denise Aparecida e SANDOVAL, Monica Carneiro. A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 37-49, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS489. Acesso em: 19 nov. 2025.
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      Magalhães, T. M., Botter, D. A., & Sandoval, M. C. (2021). A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, 35( 1), 37-49. doi:10.1214/20-BJPS489
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      Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS489
    • Vancouver

      Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS489
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: EQUAÇÕES DIFERENCIAIS ESTOCÁSTICAS, GRANDES DESVIOS

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      LOGACHOV, Artem e LOGACHOVA, Olga e YAMBARTSEV, Anatoli. The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 205-223, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS472. Acesso em: 19 nov. 2025.
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      Logachov, A., Logachova, O., & Yambartsev, A. (2021). The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, 35( 2), 205-223. doi:10.1214/20-BJPS472
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      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS472
    • Vancouver

      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/20-BJPS472
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE HARMÔNICA EM ESPAÇOS EUCLIDIANOS

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      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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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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
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      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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] Available from: https://doi.org/10.1214/19-BJPS441
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS397. Acesso em: 19 nov. 2025.
    • APA

      Paz, R. F. da, Balakrishnan, N., & Bazán Guzmán, J. L. (2019). L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, 33( 3), 455-479. doi:10.1214/18-BJPS397
    • NLM

      Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/18-BJPS397
    • Vancouver

      Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/18-BJPS397
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

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

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    • ABNT

      LOPES, Lucas Pereira e CANCHO, Vicente Garibay e LOUZADA, Francisco. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 801-825, 2019Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS445. Acesso em: 19 nov. 2025.
    • APA

      Lopes, L. P., Cancho, V. G., & Louzada, F. (2019). Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, 33( 4), 801-825. doi:10.1214/19-BJPS445
    • NLM

      Lopes LP, Cancho VG, Louzada F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/19-BJPS445
    • Vancouver

      Lopes LP, Cancho VG, Louzada F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1214/19-BJPS445

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