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Artigo de periodico
Comparing two spatial variables with the probability of agreement (2024)
Acosta, Jonathan ; Vallejos, Ronny ; Ellison, Aaron M ; Osorio, Felipe ; Castro, Mário de
Source: Biometrics. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACOSTA, Jonathan et al. Comparing two spatial variables with the probability of agreement. Biometrics, v. 80, n. 1, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1093/biomtc/ujae009. Acesso em: 06 out. 2024.
APA
Acosta, J., Vallejos, R., Ellison, A. M., Osorio, F., & Castro, M. de. (2024). Comparing two spatial variables with the probability of agreement. Biometrics, 80( 1), 1-14. doi:10.1093/biomtc/ujae009
NLM
Acosta J, Vallejos R, Ellison AM, Osorio F, Castro M de. Comparing two spatial variables with the probability of agreement [Internet]. Biometrics. 2024 ; 80( 1): 1-14.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/biomtc/ujae009
Vancouver
Acosta J, Vallejos R, Ellison AM, Osorio F, Castro M de. Comparing two spatial variables with the probability of agreement [Internet]. Biometrics. 2024 ; 80( 1): 1-14.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/biomtc/ujae009
Artigo de periodico
2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine (2021)
Ruggeri, Fabrizio ; Bolfarine, Henrique ; Bazán Guzmán, Jorge Luis ; Arellano-Valle, Reinaldo Boris ; Dávila, Víctor Hugo Lachos ; Castro, Mário de
Source: International Statistical Review. Unidades: ICMC, IME
Assunto: ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUGGERI, Fabrizio et al. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, v. 89, n. 3, p. 435-446, 2021Tradução . . Disponível em: https://doi.org/10.1111/insr.12472. Acesso em: 06 out. 2024.
APA
Ruggeri, F., Bolfarine, H., Bazán Guzmán, J. L., Arellano-Valle, R. B., Dávila, V. H. L., & Castro, M. de. (2021). 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, 89( 3), 435-446. doi:10.1111/insr.12472
NLM
Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/insr.12472
Vancouver
Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/insr.12472
Artigo de periodico
A bayesian multi-risks survival (MRS) model in the presence of double censorings (2020)
Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye; D'Amico, Anthony Victor
Source: Biometrics. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, MÉTODOS MCMC, NEOPLASIAS PROSTÁTICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de et al. A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, v. 76, n. 4, p. 1297-1309, 2020Tradução . . Disponível em: https://doi.org/10.1111/biom.13228. Acesso em: 06 out. 2024.
APA
Castro, M. de, Chen, M. -H., Zhang, Y., & D'Amico, A. V. (2020). A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, 76( 4), 1297-1309. doi:10.1111/biom.13228
NLM
Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/biom.13228
Vancouver
Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/biom.13228
Artigo de periodico
Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood (2018)
Wu, Jing; Castro, Mário de ; Elizabeth D. Schifano; Chen, Ming-Hui
Source: Journal of Statistical Theory and Practice. 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
WU, Jing et al. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, v. 12, n. 1, p. 23-41, 2018Tradução . . Disponível em: https://doi.org/10.1080/15598608.2017.1299058. Acesso em: 06 out. 2024.
APA
Wu, J., Castro, M. de, Elizabeth D. Schifano,, & Chen, M. -H. (2018). Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, 12( 1), 23-41. doi:10.1080/15598608.2017.1299058
NLM
Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/15598608.2017.1299058
Vancouver
Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/15598608.2017.1299058
Trabalho de evento-resumo
Singularity points and vanishing tetrads in factor analysis (2017)
Abensur, Themis C.; Castro, Mário de ; Davier, Alina A. von
Source: Abstracts 5th WSPM. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ABENSUR, Themis C. e CASTRO, Mário de e DAVIER, Alina A. von. Singularity points and vanishing tetrads in factor analysis. 2017, Anais.. São Paulo, SP: Associação Brasileira de Estatística - ABE, 2017. p. 22-23. . Acesso em: 06 out. 2024.
APA
Abensur, T. C., Castro, M. de, & Davier, A. A. von. (2017). Singularity points and vanishing tetrads in factor analysis. In Abstracts 5th WSPM (p. 22-23). São Paulo, SP: Associação Brasileira de Estatística - ABE.
NLM
Abensur TC, Castro M de, Davier AA von. Singularity points and vanishing tetrads in factor analysis. Abstracts 5th WSPM. 2017 ; 22-23.[citado 2024 out. 06 ]
Vancouver
Abensur TC, Castro M de, Davier AA von. Singularity points and vanishing tetrads in factor analysis. Abstracts 5th WSPM. 2017 ; 22-23.[citado 2024 out. 06 ]
Parte de monografia/livro
Bayesian frailty models for multi-state survival data (2016)
Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye
Source: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de e CHEN, Ming-Hui e ZHANG, Yuanye. Bayesian frailty models for multi-state survival data. Statistical applications from clinical trials and personalized medicine to finance and business analytics. Tradução . Cham: Springer, 2016. p. 351 . Disponível em: https://doi.org/10.1007/978-3-319-42568-9_4. Acesso em: 06 out. 2024.
APA
Castro, M. de, Chen, M. -H., & Zhang, Y. (2016). Bayesian frailty models for multi-state survival data. In Statistical applications from clinical trials and personalized medicine to finance and business analytics (p. 351 ). Cham: Springer. doi:10.1007/978-3-319-42568-9_4
NLM
Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
Vancouver
Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4

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