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Filtros : "Statistical Methods and Applications" Removido: "VEROSSIMILHANÇA" Limpar

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Artigo de periodico
Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors (2024)
Achcar, Jorge Alberto ; Barili, Emerson
Source: Statistical Methods and Applications. Unidade: FMRP
Subjects: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, v. 33, p. 357-380, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10260-023-00734-w. Acesso em: 07 dez. 2025.
APA
Achcar, J. A., & Barili, E. (2024). Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, 33, 357-380. doi:10.1007/s10260-023-00734-w
NLM
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/s10260-023-00734-w
Vancouver
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/s10260-023-00734-w
Artigo de periodico
A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC (2021)
Conceição, Katiane Silva ; Suzuki, Adriano Kamimura ; Andrade, Marinho Gomes de
Source: Statistical Methods and Applications. Unidade: ICMC
Subjects: MÉTODOS MCMC, PROCESSOS DE POISSON, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONCEIÇÃO, Katiane Silva e SUZUKI, Adriano Kamimura e ANDRADE, Marinho Gomes de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, v. 30, p. 747-765, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10260-020-00541-7. Acesso em: 07 dez. 2025.
APA
Conceição, K. S., Suzuki, A. K., & Andrade, M. G. de. (2021). A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, 30, 747-765. doi:10.1007/s10260-020-00541-7
NLM
Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/s10260-020-00541-7
Vancouver
Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/s10260-020-00541-7

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