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Artigo de periodico
Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis (2021)
Jiménez, Johnatan Cardona ; Pereira, Carlos Alberto de Bragança
Source: Computational Statistics & Data Analysis. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JIMÉNEZ, Johnatan Cardona e PEREIRA, Carlos Alberto de Bragança. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis. Computational Statistics & Data Analysis, v. 163, n. artigo 107297, p. 1-19, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2021.107297. Acesso em: 07 nov. 2024.
APA
Jiménez, J. C., & Pereira, C. A. de B. (2021). Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis. Computational Statistics & Data Analysis, 163( artigo 107297), 1-19. doi:10.1016/j.csda.2021.107297
NLM
Jiménez JC, Pereira CA de B. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis [Internet]. Computational Statistics & Data Analysis. 2021 ; 163( artigo 107297): 1-19.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.csda.2021.107297
Vancouver
Jiménez JC, Pereira CA de B. Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis [Internet]. Computational Statistics & Data Analysis. 2021 ; 163( artigo 107297): 1-19.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.csda.2021.107297
Artigo de periodico
Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data (2019)
Achcar, Jorge Alberto ; Cuevas, Jose Rafael Tovar; Moala, Fernando A.
Source: Journal of Data Science. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, DADOS CENSURADOS, MÉTODOS DE DIAGNÓSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e CUEVAS, Jose Rafael Tovar e MOALA, Fernando A. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, v. 17, n. 3, p. 445-480, 2019Tradução . . Disponível em: https://doi.org/10.6339/JDS.201907_17(3).0001. Acesso em: 07 nov. 2024.
APA
Achcar, J. A., Cuevas, J. R. T., & Moala, F. A. (2019). Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, 17( 3), 445-480. doi:10.6339/JDS.201907_17(3).0001
NLM
Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2024 nov. 07 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
Vancouver
Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2024 nov. 07 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
Artigo de periodico
Seasonal hydrological and meteorological time series (2018)
Cuervo, Edilberto Cepeda; Achcar, Jorge Alberto ; Andrade, Marinho Gomes de
Source: Earth Sciences Research Journal. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, MODELOS EM SÉRIES TEMPORAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC, HIDROLOGIA, METEOROLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ACHCAR, Jorge Alberto e ANDRADE, Marinho Gomes de. Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, v. 22, n. Ju 2018, p. 83-90, 2018Tradução . . Disponível em: https://doi.org/10.15446/esrj.v22n2.65577. Acesso em: 07 nov. 2024.
APA
Cuervo, E. C., Achcar, J. A., & Andrade, M. G. de. (2018). Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, 22( Ju 2018), 83-90. doi:10.15446/esrj.v22n2.65577
NLM
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 nov. 07 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Vancouver
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 nov. 07 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Trabalho de evento-anais periodico
A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach (2012)
Cuervo, Edilberto Cepeda; Andrade, Marinho Gomes de ; Achcar, Jorge Alberto
Source: AIP Conference Proceedings. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidades: ICMC, FMRP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, HIDROLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ANDRADE, Marinho Gomes de e ACHCAR, Jorge Alberto. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. Disponível em: https://doi.org/10.1063/1.4759593. Acesso em: 07 nov. 2024. , 2012
APA
Cuervo, E. C., Andrade, M. G. de, & Achcar, J. A. (2012). A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. doi:10.1063/1.4759593
NLM
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1063/1.4759593
Vancouver
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1063/1.4759593

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