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Artigo de periodico
Multidimensional graded response models with hierarchical structure and Q-matrix (2025)
Silva, Marcelo Andrade da ; Guzmán, Jorge Luis Bazán ; Liu, Ren ; Possan, Edna ; Vincenzi, Silvana Ligia
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Assuntos: ALGORITMOS, INFERÊNCIA BAYESIANA, MATRIZES, MODELOS MATEMÁTICOS, TEORIA DE RESPOSTA AO ITEM
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ABNT
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: 23 nov. 2025.
APA
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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/25-BJPS622
Artigo de periodico
A Bayesian approach for the G-DINA model (2024)
Fernandes, Renato da Silva ; Bazán Guzmán, Jorge Luis ; Curi, Mariana
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, DEPRESSÃO
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ABNT
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: 23 nov. 2025.
APA
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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/24-BJPS616
Artigo de periodico
Objective bayesian analysis for the differential entropy of the gamma distribution (2024)
Ramos, Eduardo ; Egbon, Osafu Augustine ; Ramos, Pedro Luiz ; Rodrigues, Francisco Aparecido ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: INFERÊNCIA BAYESIANA, ENTROPIA, DISTRIBUIÇÕES (ANÁLISE FUNCIONAL)
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ABNT
RAMOS, Eduardo et al. Objective bayesian analysis for the differential entropy of the gamma distribution. Brazilian Journal of Probability and Statistics, v. 38, n. 1, p. 53-73, 2024Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS591. Acesso em: 23 nov. 2025.
APA
Ramos, E., Egbon, O. A., Ramos, P. L., Rodrigues, F. A., & Louzada, F. (2024). Objective bayesian analysis for the differential entropy of the gamma distribution. Brazilian Journal of Probability and Statistics, 38( 1), 53-73. doi:10.1214/23-BJPS591
NLM
Ramos E, Egbon OA, Ramos PL, Rodrigues FA, Louzada F. Objective bayesian analysis for the differential entropy of the gamma distribution [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 1): 53-73.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/23-BJPS591
Vancouver
Ramos E, Egbon OA, Ramos PL, Rodrigues FA, Louzada F. Objective bayesian analysis for the differential entropy of the gamma distribution [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 1): 53-73.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/23-BJPS591
Artigo de periodico-carta/editorial
Preface to the special issue. [Editorial] (2023)
Arellano-Valle, Reinaldo Boris ; Balakrishnan, Narayanaswamy ; Branco, Marcia D'Elia ; Rodrigues, Josemar
Fonte: Brazilian Journal of Probability and Statistics. Unidades: IME, ICMC
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ABNT
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: 23 nov. 2025. , 2023
APA
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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
Artigo de periodico
Longitudinal binary response models using alternative links for medical data (2023)
Huayanay, Alex de la Cruz ; Bazán Guzmán, Jorge Luis ; Diniz, Carlos Alberto Ribeiro
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE DESEMPENHO, ESQUIZOFRENIA, REGISTROS MÉDICOS, MÉTODOS MCMC
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ABNT
HUAYANAY, Alex de la Cruz e BAZÁN GUZMÁN, Jorge Luis e DINIZ, Carlos Alberto Ribeiro. Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 365-392, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS572. Acesso em: 23 nov. 2025.
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., & Diniz, C. A. R. (2023). Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, 37( 2), 365-392. doi:10.1214/23-BJPS572
NLM
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/23-BJPS572
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/23-BJPS572
Artigo de periodico
Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions (2023)
Bazán Guzmán, Jorge Luis ; Ari, Sandra Elizabeth Flores ; Azevedo, Caio Lucidius Naberezny ; Dey, Dipak Kumar
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: TEORIA DE RESPOSTA AO ITEM, INFERÊNCIA BAYESIANA, SIMULAÇÃO, COMPLEXIDADE
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ABNT
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: 23 nov. 2025.
APA
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
NLM
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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/22-BJPS558
Artigo de periodico
Bayesian inference for zero-and/or-one augmented beta rectangular regression models (2021)
Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC
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ABNT
SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 23 nov. 2025.
APA
Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505
NLM
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/21-BJPS505
Vancouver
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/21-BJPS505
Artigo de periodico
A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (2020)
Saraiva, Erlandson Ferreira ; Suzuki, Adriano Kamimura ; Milan, Luis Aparecido
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, AMOSTRAGEM, MÉTODO DE MONTE CARLO
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ABNT
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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/18-BJPS425
Artigo de periodico
Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data (2020)
Nogarotto, Danilo Covaes ; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/18-BJPS423
Artigo de periodico
L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications (2019)
Paz, Rosineide F. da; Balakrishnan, Narayanaswamy; Bazán Guzmán, Jorge Luis
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: 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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/18-BJPS397
Artigo de periodico
Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach (2019)
Lopes, Lucas Pereira ; Cancho, Vicente Garibay ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: 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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1214/19-BJPS445
Artigo de periodico-carta/editorial
This is the special volume... [Editorial] (2017)
Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: PROBABILIDADE, ESTATÍSTICA
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ABNT
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: 23 nov. 2025. , 2017
APA
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
NLM
Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.[citado 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/17-BJP313ED
Artigo de periodico
A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season (2017)
Conceição, Katiane Silva ; Suzuki, Adriano Kamimura ; Andrade, Marinho Gomes de ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: PROBABILIDADE APLICADA, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), DISTRIBUIÇÃO DE POISSON
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ABNT
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: 23 nov. 2025.
APA
Conceição, K. S., Suzuki, A. K., Andrade, 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
NLM
Conceição KS, Suzuki AK, Andrade 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/17-BJPS379
Vancouver
Conceição KS, Suzuki AK, Andrade 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/17-BJPS379
Artigo de periodico
Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion (2016)
Salasar, Luis Ernesto Bueno; Leite, José Galvão; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
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ABNT
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: 23 nov. 2025.
APA
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/14-BJPS255
Artigo de periodico
A gene-by-gene multiple comparison analysis: a predictive Bayesian approach (2015)
Saraiva, Erlandson Ferreira ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, COMPARAÇÕES MÚLTIPLAS, EXPRESSÃO GÊNICA
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ABNT
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: 23 nov. 2025.
APA
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
NLM
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/13-BJPS233
Artigo de periodico
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 (2015)
Milani, Eder; Tomazella, Vera L. D; Dias, Teresa Cristina Martins; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: PROBABILIDADE, LOGÍSTICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
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: 23 nov. 2025.
APA
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
NLM
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/13-BJPS232
Artigo de periodico
Extensions of the skew-normal ogive item response model (2014)
Bazán Guzmán, Jorge Luis ; Branco, Marcia D'Elia ; Bolfarine, Heleno
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME
Assuntos: PROBABILIDADE, ESTATÍSTICA APLICADA, PSICOMETRIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 nov. 2025.
APA
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/12-BJPS191
Artigo de periodico
A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data (2014)
Louzada, Francisco ; Saraiva, Erlandson F; Milan, Luis; Cobre, Juliana
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 nov. 2025.
APA
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
NLM
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/12-bjps200
Artigo de periodico
Bayesian skew-probit regression for binary response data (2014)
Bazán Guzmán, Jorge Luis ; Romeo, José S; Rodrigues, Josemar
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 nov. 2025.
APA
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 2025 nov. 23 ] 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/13-BJPS218
Artigo de periodico
A generalized species-area relationship: the Poisson distribution case (2014)
Conceição, Katiane Silva ; Pires, Rubiane M; Louzada, Francisco ; Andrade, Marinho Gomes de ; Diniz, Carlos A. R
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 nov. 2025.
APA
Conceição, K. S., Pires, R. M., Louzada, F., Andrade, 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 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/13-BJPS219
Vancouver
Conceição KS, Pires RM, Louzada F, Andrade 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 2025 nov. 23 ] Available from: https://doi.org/10.1214/13-BJPS219

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