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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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/23-BJPS572
Artigo de periodico
An extension of the partially linear Rice regression model for bimodal and correlated data (2023)
Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Cancho, Vicente Garibay
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
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: 22 nov. 2025.
APA
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
NLM
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 2025 nov. 22 ] 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 2025 nov. 22 ] Available from: https://doi.org/10.1214/23-BJPS566
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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/21-BJPS505
Artigo de periodico
The random deterioration rate model with measurement error based on the inverse Gaussian distribution (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luis ; Ferreira, Paulo Henrique ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
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: 22 nov. 2025.
APA
Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada, 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
NLM
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada 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 2025 nov. 22 ] Available from: https://doi.org/10.1214/20-BJPS468
Vancouver
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada 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 2025 nov. 22 ] Available from: https://doi.org/10.1214/20-BJPS468
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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 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. 22 ] 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. 22 ] 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)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/19-BJPS445
Artigo de periodico
Bayesian approach for the zero-modified Poisson-Lindley regression model (2019)
Silva, Wesley Bertoli da ; Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 22 nov. 2025.
APA
Silva, W. B. da, Conceição, K. S., Andrade, M. G. de, & Louzada, 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
NLM
Silva WB da, Conceição KS, Andrade MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1214/19-BJPS447
Vancouver
Silva WB da, Conceição KS, Andrade MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1214/19-BJPS447
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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/17-BJP313ED
Artigo de periodico
A new lifetime model with variable shapes for the hazard rate (2017)
Afify, Ahmed Z; Cordeiro, Gauss Moutinho; Butt, Nadeem Shafique; Ortega, Edwin Moisés Marcos ; Suzuki, Adriano Kamimura
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
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ABNT
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: 22 nov. 2025.
APA
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
NLM
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 2025 nov. 22 ] 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 2025 nov. 22 ] Available from: https://doi.org/10.1214/16-BJPS322
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 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. 22 ] 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. 22 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/14-BJPS255
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 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. 22 ] 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. 22 ] 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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1214/12-BJPS191

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