D-Measure: a bayesian model selection criterion for survival data (2019)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; LOUZADA NETO, FRANCISCO - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidade: ICMC
- DOI: 10.1142/S2424922X19500074
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; SIMULAÇÃO (ESTATÍSTICA); INFERÊNCIA BAYESIANA
- Keywords: Model selection; Predictive criterion; Predictive distribution
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Advances in Data Science and Adaptive Analysis
- ISSN: 2424-922X
- Volume/Número/Paginação/Ano: v. 11, n. 3 & 4, p. 1-18, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
YIQI, Bao et al. D-Measure: a bayesian model selection criterion for survival data. Advances in Data Science and Adaptive Analysis, v. 11, n. 3 & 4, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1142/S2424922X19500074. Acesso em: 24 abr. 2024. -
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Louzada, F., & Suzuki, A. K. (2019). D-Measure: a bayesian model selection criterion for survival data. Advances in Data Science and Adaptive Analysis, 11( 3 & 4), 1-18. doi:10.1142/S2424922X19500074 -
NLM
Yiqi B, Cancho VG, Dey DK, Louzada F, Suzuki AK. D-Measure: a bayesian model selection criterion for survival data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 3 & 4): 1-18.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1142/S2424922X19500074 -
Vancouver
Yiqi B, Cancho VG, Dey DK, Louzada F, Suzuki AK. D-Measure: a bayesian model selection criterion for survival data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 3 & 4): 1-18.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1142/S2424922X19500074 - On estimation and influence diagnostics for a bivariate promotion lifetime model based on the FGM Copula: a fully bayesian computation
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Informações sobre o DOI: 10.1142/S2424922X19500074 (Fonte: oaDOI API)
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