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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
Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Subjects: ALGORITMOS, INFERÊNCIA BAYESIANA, MATRIZES, MODELOS MATEMÁTICOS, TEORIA DE RESPOSTA AO ITEM
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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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/25-BJPS622
Artigo de periodico
Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula (2024)
Patiño, Elizabeth González ; Tunes, Gisela ; Tanaka, Nelson Ithiro
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA
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ABNT
PATIÑO, Elizabeth González e TUNES, Gisela e TANAKA, Nelson Ithiro. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula. Brazilian Journal of Probability and Statistics, v. 38, n. 2, p. 302-320, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-bjps606. Acesso em: 11 nov. 2025.
APA
Patiño, E. G., Tunes, G., & Tanaka, N. I. (2024). Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula. Brazilian Journal of Probability and Statistics, 38( 2), 302-320. doi:10.1214/24-bjps606
NLM
Patiño EG, Tunes G, Tanaka NI. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 302-320.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/24-bjps606
Vancouver
Patiño EG, Tunes G, Tanaka NI. Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 302-320.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/24-bjps606
Artigo de periodico
A Bayesian approach for the G-DINA model (2024)
Fernandes, Renato da Silva ; Bazán Guzmán, Jorge Luis ; Curi, Mariana
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] 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
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: 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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/23-BJPS591
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
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: 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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/23-BJPS572
Artigo de periodico
A new class of bivariate Sushila distributions in presence of right-censored and cure fraction (2023)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Achcar, Jorge Alberto; Martinez, Edson Zangiacomi
Source: Brazilian Journal of Probability and Statistics. Unidade: FMRP
Subjects: FRAÇÕES CONTÍNUAS, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
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ABNT
OLIVEIRA, Ricardo Puziol de et al. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 55-72, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS560. Acesso em: 11 nov. 2025.
APA
Oliveira, R. P. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2023). A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, 37( 1), 55-72. doi:10.1214/22-BJPS560
NLM
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/22-BJPS560
Vancouver
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/22-BJPS560
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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/22-BJPS558
Artigo de periodico
Sample size for estimating organism concentration in ballast water: A Bayesian approach (2021)
Costa, Eliardo Guimarães da ; Paulino, Carlos Daniel ; Singer, Júlio da Motta
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA
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ABNT
COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 11 nov. 2025.
APA
Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470
NLM
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/20-BJPS470
Vancouver
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/20-BJPS470
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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] 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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] 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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] 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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS397. Acesso em: 11 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. 11 ] 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. 11 ] 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
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: 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: 11 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. 11 ] 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. 11 ] 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
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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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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/19-BJPS447
Artigo de periodico
A Bayesian approach to errors-in-variables beta regression (2018)
Figueroa-Zúñiga, Jorge; Carrasco, Jalmar Manuel Farfán; Arellano-Valle, Reinaldo Boris ; Ferrari, Sílvia Lopes de Paula
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
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ABNT
FIGUEROA-ZÚÑIGA, Jorge et al. A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 32, n. 3, p. 559-582, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-bjps354. Acesso em: 11 nov. 2025.
APA
Figueroa-Zúñiga, J., Carrasco, J. M. F., Arellano-Valle, R. B., & Ferrari, S. L. de P. (2018). A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 32( 3), 559-582. doi:10.1214/17-bjps354
NLM
Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/17-bjps354
Vancouver
Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/17-bjps354
Artigo de periodico
Bayesian analysis of flexible measurement error models (2017)
Rondon, Luz Marina; Bolfarine, Heleno
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR
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ABNT
RONDON, Luz Marina e BOLFARINE, Heleno. Bayesian analysis of flexible measurement error models. Brazilian Journal of Probability and Statistics, v. 31, n. 3, p. 618-639, 2017Tradução . . Disponível em: https://doi.org/10.1214/16-BJPS326. Acesso em: 11 nov. 2025.
APA
Rondon, L. M., & Bolfarine, H. (2017). Bayesian analysis of flexible measurement error models. Brazilian Journal of Probability and Statistics, 31( 3), 618-639. doi:10.1214/16-BJPS326
NLM
Rondon LM, Bolfarine H. Bayesian analysis of flexible measurement error models [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 618-639.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/16-BJPS326
Vancouver
Rondon LM, Bolfarine H. Bayesian analysis of flexible measurement error models [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 618-639.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/16-BJPS326
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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/17-BJPS379
Artigo de periodico
Concentration function for the skew-normal and skew-$t$ distributions, with application in robust Bayesian analysis (2017)
Godoi, Luciana Graziela de; Branco, Marcia D'Elia ; Ruggeri, Fabrizio
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GODOI, Luciana Graziela de e BRANCO, Marcia D'Elia e RUGGERI, Fabrizio. Concentration function for the skew-normal and skew-$t$ distributions, with application in robust Bayesian analysis. Brazilian Journal of Probability and Statistics, v. 31, n. 2, p. 373-393, 2017Tradução . . Disponível em: https://doi.org/10.1214/16-BJPS318. Acesso em: 11 nov. 2025.
APA
Godoi, L. G. de, Branco, M. D. 'E., & Ruggeri, F. (2017). Concentration function for the skew-normal and skew-$t$ distributions, with application in robust Bayesian analysis. Brazilian Journal of Probability and Statistics, 31( 2), 373-393. doi:10.1214/16-BJPS318
NLM
Godoi LG de, Branco MD'E, Ruggeri F. Concentration function for the skew-normal and skew-$t$ distributions, with application in robust Bayesian analysis [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 373-393.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/16-BJPS318
Vancouver
Godoi LG de, Branco MD'E, Ruggeri F. Concentration function for the skew-normal and skew-$t$ distributions, with application in robust Bayesian analysis [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 373-393.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/16-BJPS318
Artigo de periodico
Adaptative significance levels using optimal decision rules: balancing by weighting the error (2016)
Pericchi, Luis Raul; Pereira, Carlos Alberto de Bragança
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: TESTES DE HIPÓTESES, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERICCHI, Luis Raul e PEREIRA, Carlos Alberto de Bragança. Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 70-90, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS257. Acesso em: 11 nov. 2025.
APA
Pericchi, L. R., & Pereira, C. A. de B. (2016). Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, 30( 1), 70-90. doi:10.1214/14-BJPS257
NLM
Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/14-BJPS257
Vancouver
Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/14-BJPS257
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
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: 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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1214/14-BJPS255

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