Filtros : "Brazilian Journal of Probability and Statistics" "IME-MAE" Limpar

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

    Assuntos: INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      GRIVOL, Gustavo et al. Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, v. 38, n. 2, p. 215-231, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-BJPS601. Acesso em: 12 nov. 2025.
    • APA

      Grivol, G., Izbicki, R., Okuno, A. A., & Stern, R. B. (2024). Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, 38( 2), 215-231. doi:10.1214/24-BJPS601
    • NLM

      Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/24-BJPS601
    • Vancouver

      Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/24-BJPS601
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/24-bjps606
  • Fonte: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      BENITES, Luis et al. Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 282-312, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS551. Acesso em: 12 nov. 2025.
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      Benites, L., Zeller, C. B., Bolfarine, H., & Lachos, V. H. (2023). Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, 37( 2), 282-312. doi:10.1214/22-BJPS551
    • NLM

      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS551
    • Vancouver

      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS551
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CARRASCO, Jalmar M. F e FERRARI, Sílvia Lopes de Paula e ARELLANO\2013VALLE, Reinaldo B. Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 249-262, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS543. Acesso em: 12 nov. 2025.
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      Carrasco, J. M. F., Ferrari, S. L. de P., & Arellano\2013Valle, R. B. (2023). Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 37( 2), 249-262. doi:10.1214/22-BJPS543
    • NLM

      Carrasco JMF, Ferrari SL de P, Arellano\2013Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS543
    • Vancouver

      Carrasco JMF, Ferrari SL de P, Arellano\2013Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS543
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: PROBABILIDADE

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    • ABNT

      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: 12 nov. 2025.
    • APA

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/22-BJPS548
  • Fonte: Brazilian Journal of Probability and Statistics. Unidades: FFLCH, IME

    Assuntos: EVOLUÇÃO, PROCESSOS DE RAMIFICAÇÃO, MUTAÇÃO, PROBABILIDADE APLICADA

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    • ABNT

      GREJO, Carolina Bueno et al. Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 771-776, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS554. Acesso em: 12 nov. 2025.
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      Grejo, C. B., Lopes, F. L., Machado, F. P., & Roldán-Correa, A. (2022). Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, 36( 4), 771-776. doi:10.1214/22-BJPS554
    • NLM

      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS554
    • Vancouver

      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-BJPS554
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      FERREIRA, Clécio S. e MONTORIL, Michel Helcias e PAULA, Gilberto Alvarenga. Partially linear models with p-order autoregressive skew-normal errors. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 792-806, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-bjps556. Acesso em: 12 nov. 2025.
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      Ferreira, C. S., Montoril, M. H., & Paula, G. A. (2022). Partially linear models with p-order autoregressive skew-normal errors. Brazilian Journal of Probability and Statistics, 36( 4), 792-806. doi:10.1214/22-bjps556
    • NLM

      Ferreira CS, Montoril MH, Paula GA. Partially linear models with p-order autoregressive skew-normal errors [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 792-806.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-bjps556
    • Vancouver

      Ferreira CS, Montoril MH, Paula GA. Partially linear models with p-order autoregressive skew-normal errors [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 792-806.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/22-bjps556
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/22-BJPS536
  • Fonte: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/19-BJPS458
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/20-BJPS470
  • Fonte: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/20-BJPS489
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • NLM

      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/20-BJPS472
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/19-BJPS454
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/19-BJPS436
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: 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: 12 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
    • 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1214/19-BJPS441
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA APLICADA

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      SINGER, Júlio da Motta et al. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, v. 33, n. 1, p. 161-183, 2019Tradução . . Disponível em: https://doi.org/10.1214/17-bjps382. Acesso em: 12 nov. 2025.
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      Singer, J. da M., Rocha, F. M. M. da, André, C. D. S. de, & Zerbini, T. (2019). Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, 33( 1), 161-183. doi:10.1214/17-bjps382
    • NLM

      Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps382
    • Vancouver

      Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps382
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE MULTIVARIADA

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      KOLEV, Nikolai e PINTO, Jayme. A weak version of bivariate lack of memory property. Brazilian Journal of Probability and Statistics, v. 32, n. 4, p. 873-906, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-BJPS371. Acesso em: 12 nov. 2025.
    • APA

      Kolev, N., & Pinto, J. (2018). A weak version of bivariate lack of memory property. Brazilian Journal of Probability and Statistics, 32( 4), 873-906. doi:10.1214/17-BJPS371
    • NLM

      Kolev N, Pinto J. A weak version of bivariate lack of memory property [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 873-906.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-BJPS371
    • Vancouver

      Kolev N, Pinto J. A weak version of bivariate lack of memory property [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 873-906.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-BJPS371
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: TRIANGULIZAÇÃO

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    • ABNT

      SISKO, Valentin e YAMBARTSEV, Anatoli e ZOHREN, Stefan. A note on weak convergence results for infinite causal triangulations. Brazilian Journal of Probability and Statistics, v. 32, n. 3, p. 597-615, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-bjps356. Acesso em: 12 nov. 2025.
    • APA

      Sisko, V., Yambartsev, A., & Zohren, S. (2018). A note on weak convergence results for infinite causal triangulations. Brazilian Journal of Probability and Statistics, 32( 3), 597-615. doi:10.1214/17-bjps356
    • NLM

      Sisko V, Yambartsev A, Zohren S. A note on weak convergence results for infinite causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 597-615.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps356
    • Vancouver

      Sisko V, Yambartsev A, Zohren S. A note on weak convergence results for infinite causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 597-615.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps356
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FIGUEROA-ZÚÑIGA, Jorge et al. A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 32, n. 3, p. 559-582, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-bjps354. Acesso em: 12 nov. 2025.
    • APA

      Figueroa-Zúñiga, J., Carrasco, J. M. F., Arellano-Valle, R. B., & Ferrari, S. L. de P. (2018). A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 32( 3), 559-582. doi:10.1214/17-bjps354
    • NLM

      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps354
    • Vancouver

      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/17-bjps354

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