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Artigo de periodico
Flexible conditional density estimation for time series (2024)
Grivol, Gustavo; Izbicki, Rafael ; Okuno, Alex Akira ; Stern, Rafael Bassi
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GRIVOL, Gustavo et al. Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, v. 38, n. 2, p. 215-231, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-BJPS601. Acesso em: 10 nov. 2025.
APA
Grivol, G., Izbicki, R., Okuno, A. A., & Stern, R. B. (2024). Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, 38( 2), 215-231. doi:10.1214/24-BJPS601
NLM
Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/24-BJPS601
Vancouver
Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/24-BJPS601
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 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. 10 ] 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. 10 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 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. 10 ] 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. 10 ] 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)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 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. 10 ] 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. 10 ] Available from: https://doi.org/10.1214/23-BJPS591

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