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Artigo de periodico
Bayesian multinomial model with inference based on Pólya-Gamma augmentation (2024)
Gayawan, Ezra ; Egbon, Osafu Augustine
Source: Biostatistics and Epidemiology. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, DESNUTRIÇÃO, OBESIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAYAWAN, Ezra e EGBON, Osafu Augustine. Bayesian multinomial model with inference based on Pólya-Gamma augmentation. Biostatistics and Epidemiology, v. 8, n. 1, p. 1-24, 2024Tradução . . Disponível em: https://doi.org/10.1080/24709360.2024.2398317. Acesso em: 21 jan. 2026.
APA
Gayawan, E., & Egbon, O. A. (2024). Bayesian multinomial model with inference based on Pólya-Gamma augmentation. Biostatistics and Epidemiology, 8( 1), 1-24. doi:10.1080/24709360.2024.2398317
NLM
Gayawan E, Egbon OA. Bayesian multinomial model with inference based on Pólya-Gamma augmentation [Internet]. Biostatistics and Epidemiology. 2024 ; 8( 1): 1-24.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/24709360.2024.2398317
Vancouver
Gayawan E, Egbon OA. Bayesian multinomial model with inference based on Pólya-Gamma augmentation [Internet]. Biostatistics and Epidemiology. 2024 ; 8( 1): 1-24.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/24709360.2024.2398317
Artigo de periodico
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis (2020)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Kattan, Michael W
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DADOS CATEGORIZADOS, INFERÊNCIA BAYESIANA, TRANSPLANTE DE RIM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elisabeth Mie et al. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, v. 47, n. 12, p. 2159–2177, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1706725. Acesso em: 21 jan. 2026.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Kattan, M. W. (2020). The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, 47( 12), 2159–2177. doi:10.1080/02664763.2019.1706725
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Artigo de periodico
The roles of prior catchability assumptions and sample features on bayes estimates of the number of classes in a population (1998)
Yoshida, Olga Satomi ; Leite, Jose Galvao; Bolfarine, Heleno
Source: Communications in Statistics - Theory and Methods. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, BIOESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOSHIDA, Olga Satomi e LEITE, Jose Galvao e BOLFARINE, Heleno. The roles of prior catchability assumptions and sample features on bayes estimates of the number of classes in a population. Communications in Statistics - Theory and Methods, v. 27, n. 8, p. 1895-1904, 1998Tradução . . Disponível em: https://doi.org/10.1080/03610929808832197. Acesso em: 21 jan. 2026.
APA
Yoshida, O. S., Leite, J. G., & Bolfarine, H. (1998). The roles of prior catchability assumptions and sample features on bayes estimates of the number of classes in a population. Communications in Statistics - Theory and Methods, 27( 8), 1895-1904. doi:10.1080/03610929808832197
NLM
Yoshida OS, Leite JG, Bolfarine H. The roles of prior catchability assumptions and sample features on bayes estimates of the number of classes in a population [Internet]. Communications in Statistics - Theory and Methods. 1998 ; 27( 8): 1895-1904.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/03610929808832197
Vancouver
Yoshida OS, Leite JG, Bolfarine H. The roles of prior catchability assumptions and sample features on bayes estimates of the number of classes in a population [Internet]. Communications in Statistics - Theory and Methods. 1998 ; 27( 8): 1895-1904.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1080/03610929808832197

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