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  • 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: 09 dez. 2023. , 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 2023 dez. 09 ] 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA

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      VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 09 dez. 2023.
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      Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566
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      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/23-BJPS566
    • Vancouver

      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/23-BJPS566
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA

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      MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 09 dez. 2023.
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      Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada Neto, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468
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      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada Neto F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/20-BJPS468
    • Vancouver

      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada Neto F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/20-BJPS468
  • 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: 09 dez. 2023.
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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 2023 dez. 09 ] 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/18-BJPS425
  • 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 GUZMÁN, Jorge Luis Bazán. 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: 09 dez. 2023.
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      Nogarotto, D. C., Azevedo, C. L. N., & Guzmán, J. L. B. (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, Guzmán JLB. 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/18-BJPS423
    • Vancouver

      Nogarotto DC, Azevedo CLN, Guzmán JLB. 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/18-BJPS423
  • 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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      PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e GUZMÁN, Jorge Luis Bazán. 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: 09 dez. 2023.
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      Paz, R. F. da, Balakrishnan, N., & Guzmán, J. L. B. (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
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      Paz RF da, Balakrishnan N, Guzmán JLB. 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/18-BJPS397
    • Vancouver

      Paz RF da, Balakrishnan N, Guzmán JLB. 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/18-BJPS397
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

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

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      LOPES, Lucas Pereira e CANCHO, Vicente Garibay e LOUZADA NETO, 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: 09 dez. 2023.
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      Lopes, L. P., Cancho, V. G., & Louzada Neto, 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
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      Lopes LP, Cancho VG, Louzada Neto 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/19-BJPS445
    • Vancouver

      Lopes LP, Cancho VG, Louzada Neto 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 2023 dez. 09 ] Available from: https://doi.org/10.1214/19-BJPS445
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA

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      SILVA, Wesley Bertoli da et al. Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 826-860, 2019Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS447. Acesso em: 09 dez. 2023.
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      Silva, W. B. da, Conceição, K. S., Andrade Filho, M. G. de, & Louzada Neto, F. (2019). Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, 33( 4), 826-860. doi:10.1214/19-BJPS447
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      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/19-BJPS447
    • Vancouver

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/19-BJPS447
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE, ESTATÍSTICA

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      LOUZADA, Francisco. This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1214/17-BJP313ED. Acesso em: 09 dez. 2023. , 2017
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      Louzada, F. (2017). This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1214/17-BJP313ED
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      Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/17-BJP313ED
    • Vancouver

      Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/17-BJP313ED
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      AFIFY, Ahmed Z et al. A new lifetime model with variable shapes for the hazard rate. Brazilian Journal of Probability and Statistics, v. 31, n. 3, p. 516-541, 2017Tradução . . Disponível em: https://doi.org/10.1214/16-BJPS322. Acesso em: 09 dez. 2023.
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      Afify, A. Z., Cordeiro, G. M., Butt, N. S., Ortega, E. M. M., & Suzuki, A. K. (2017). A new lifetime model with variable shapes for the hazard rate. Brazilian Journal of Probability and Statistics, 31( 3), 516-541. doi:10.1214/16-BJPS322
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      Afify AZ, Cordeiro GM, Butt NS, Ortega EMM, Suzuki AK. A new lifetime model with variable shapes for the hazard rate [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 516-541.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/16-BJPS322
    • Vancouver

      Afify AZ, Cordeiro GM, Butt NS, Ortega EMM, Suzuki AK. A new lifetime model with variable shapes for the hazard rate [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 516-541.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/16-BJPS322
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE APLICADA, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), DISTRIBUIÇÃO DE POISSON

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      CONCEIÇÃO, Katiane Silva et al. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season. Brazilian Journal of Probability and Statistics, v. 31, n. 4, p. 746-764, 2017Tradução . . Disponível em: https://doi.org/10.1214/17-BJPS379. Acesso em: 09 dez. 2023.
    • APA

      Conceição, K. S., Suzuki, A. K., Andrade Filho, M. G. de, & Louzada, F. (2017). A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season. Brazilian Journal of Probability and Statistics, 31( 4), 746-764. doi:10.1214/17-BJPS379
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      Conceição KS, Suzuki AK, Andrade Filho MG de, Louzada F. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 4): 746-764.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/17-BJPS379
    • Vancouver

      Conceição KS, Suzuki AK, Andrade Filho MG de, Louzada F. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 4): 746-764.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/17-BJPS379
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      SALASAR, Luis Ernesto Bueno e LEITE, José Galvão e LOUZADA, Francisco. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 47-69, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS255. Acesso em: 09 dez. 2023.
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      Salasar, L. E. B., Leite, J. G., & Louzada, F. (2016). Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, 30( 1), 47-69. doi:10.1214/14-BJPS255
    • NLM

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/14-BJPS255
    • Vancouver

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/14-BJPS255
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, COMPARAÇÕES MÚLTIPLAS, EXPRESSÃO GÊNICA

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      SARAIVA, Erlandson Ferreira e LOUZADA, Francisco. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 145-171, 2015Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS233. Acesso em: 09 dez. 2023.
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      Saraiva, E. F., & Louzada, F. (2015). A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, 29( 1), 145-171. doi:10.1214/13-BJPS233
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      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS233
    • Vancouver

      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS233
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE, LOGÍSTICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      MILANI, Eder et al. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 132-144, 2015Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS232. Acesso em: 09 dez. 2023.
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      Milani, E., Tomazella, V. L. D., Dias, T. C. M., & Louzada, F. (2015). The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, 29( 1), 132-144. doi:10.1214/13-BJPS232
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      Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS232
    • Vancouver

      Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS232
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME

    Subjects: PROBABILIDADE, ESTATÍSTICA APLICADA, PSICOMETRIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

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      BAZÁN GUZMÁN, Jorge Luis e BRANCO, Marcia D'Elia e BOLFARINE, Heleno. Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 1-23, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-BJPS191. Acesso em: 09 dez. 2023.
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      Bazán Guzmán, J. L., Branco, M. D. 'E., & Bolfarine, H. (2014). Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, 28( 1), 1-23. doi:10.1214/12-BJPS191
    • NLM

      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-BJPS191
    • Vancouver

      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-BJPS191
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

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      BAZÁN GUZMÁN, Jorge Luis e ROMEO, José S e RODRIGUES, Josemar. Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, v. 28, n. 4, p. 467-482, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS218. Acesso em: 09 dez. 2023.
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      Bazán Guzmán, J. L., Romeo, J. S., & Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, 28( 4), 467-482. doi:10.1214/13-BJPS218
    • NLM

      Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS218
    • Vancouver

      Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS218
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assunto: INFERÊNCIA BAYESIANA

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      LOUZADA, Francisco et al. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, v. 28, n. 2, p. 167-189, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-bjps200. Acesso em: 09 dez. 2023.
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      Louzada, F., Saraiva, E. F., Milan, L., & Cobre, J. (2014). A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, 28( 2), 167-189. doi:10.1214/12-bjps200
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      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-bjps200
    • Vancouver

      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-bjps200
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
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      CONCEIÇÃO, Katiane Silva et al. A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, v. 28, n. 3, p. 446-460, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS219. Acesso em: 09 dez. 2023.
    • APA

      Conceição, K. S., Pires, R. M., Louzada, F., Andrade Filho, M. G. de, & Diniz, C. A. R. (2014). A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, 28( 3), 446-460. doi:10.1214/13-BJPS219
    • NLM

      Conceição KS, Pires RM, Louzada F, Andrade Filho MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS219
    • Vancouver

      Conceição KS, Pires RM, Louzada F, Andrade Filho MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/13-BJPS219
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    Acesso à fonteDOIHow to cite
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    • ABNT

      CANCHO, Vicente Garibay e CASTRO, Mário de e DEY, Dipak K. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 585-600, 2013Tradução . . Disponível em: https://doi.org/10.1214/12-bjps186. Acesso em: 09 dez. 2023.
    • APA

      Cancho, V. G., Castro, M. de, & Dey, D. K. (2013). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, 27( 4), 585-600. doi:10.1214/12-bjps186
    • NLM

      Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-bjps186
    • Vancouver

      Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/12-bjps186
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    Acesso à fonteDOIHow to cite
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    • ABNT

      DELGADO, José F et al. The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 565-584, 2013Tradução . . Disponível em: https://doi.org/10.1214/11-BJPS182. Acesso em: 09 dez. 2023.
    • APA

      Delgado, J. F., Borges, P., Cancho, V. G., & Louzada, F. (2013). The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, 27( 4), 565-584. doi:10.1214/11-BJPS182
    • NLM

      Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/11-BJPS182
    • Vancouver

      Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2023 dez. 09 ] Available from: https://doi.org/10.1214/11-BJPS182

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