ReP USP - Resultado da busca

Artigo de periodico
Longitudinal binary response models using alternative links for medical data (2023)
Huayanay, Alex de la Cruz ; Bazán Guzmán, Jorge Luis ; Diniz, Carlos Alberto Ribeiro
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE DESEMPENHO, ESQUIZOFRENIA, REGISTROS MÉDICOS, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HUAYANAY, Alex de la Cruz e BAZÁN GUZMÁN, Jorge Luis e DINIZ, Carlos Alberto Ribeiro. Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 365-392, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS572. Acesso em: 08 jun. 2024.
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., & Diniz, C. A. R. (2023). Longitudinal binary response models using alternative links for medical data. Brazilian Journal of Probability and Statistics, 37( 2), 365-392. doi:10.1214/23-BJPS572
NLM
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/23-BJPS572
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Longitudinal binary response models using alternative links for medical data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 365-392.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/23-BJPS572
Artigo de periodico
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2023)
Paz, Rosineide Fernando da ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo ; Dey, Dipak Kumar
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 08 jun. 2024.
APA
Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392
NLM
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Vancouver
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Artigo de periodico
Prior elicitation for Gaussian spatial process: an application to TMS brain mapping (2023)
Egbon, Osafu Augustine ; Nascimento, Diego Carvalho do ; Louzada, Francisco
Source: Statistics in Medicine. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA, ESTIMULAÇÃO MAGNÉTICA TRANSCRANIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EGBON, Osafu Augustine e NASCIMENTO, Diego Carvalho do e LOUZADA, Francisco. Prior elicitation for Gaussian spatial process: an application to TMS brain mapping. Statistics in Medicine, v. 42, p. 3956-3980, 2023Tradução . . Disponível em: https://doi.org/10.1002/sim.9842. Acesso em: 08 jun. 2024.
APA
Egbon, O. A., Nascimento, D. C. do, & Louzada, F. (2023). Prior elicitation for Gaussian spatial process: an application to TMS brain mapping. Statistics in Medicine, 42, 3956-3980. doi:10.1002/sim.9842
NLM
Egbon OA, Nascimento DC do, Louzada F. Prior elicitation for Gaussian spatial process: an application to TMS brain mapping [Internet]. Statistics in Medicine. 2023 ; 42 3956-3980.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1002/sim.9842
Vancouver
Egbon OA, Nascimento DC do, Louzada F. Prior elicitation for Gaussian spatial process: an application to TMS brain mapping [Internet]. Statistics in Medicine. 2023 ; 42 3956-3980.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1002/sim.9842
Artigo de periodico
Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates (2022)
Martinez, Edson Zangiacomi ; Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Aragon, Davi Casale; Peres, Marcos Vinícius de Oliveira
Source: Statistics, Optimization & Information Computing. Unidades: FMRP, ICMC
Subjects: PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi et al. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, v. 10, n. 2, p. 548-571, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1266. Acesso em: 08 jun. 2024.
APA
Martinez, E. Z., Freitas, B. C. L. de, Achcar, J. A., Aragon, D. C., & Peres, M. V. de O. (2022). Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, 10( 2), 548-571. doi:10.19139/soic-2310-5070-1266
NLM
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 jun. 08 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Vancouver
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 jun. 08 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Trabalho de evento-resumo
Resposta binária longitudinal usando ligações alternativas para dados médicos (2022)
Huayanay, Alex de la Cruz ; Bazán Guzmán, Jorge Luis ; Diniz, Carlos Alberto Ribeiro
Source: Livro de Resumos. Conference titles: Simpósio Nacional de Probabilidade e Estatística - SINAPE. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, REGISTROS MÉDICOS, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HUAYANAY, Alex de la Cruz e BAZÁN GUZMÁN, Jorge Luis e DINIZ, Carlos Alberto Ribeiro. Resposta binária longitudinal usando ligações alternativas para dados médicos. 2022, Anais.. ABE: São Paulo, 2022. Disponível em: https://sinape2022.eventize.com.br. Acesso em: 08 jun. 2024.
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., & Diniz, C. A. R. (2022). Resposta binária longitudinal usando ligações alternativas para dados médicos. In Livro de Resumos. ABE: São Paulo. Recuperado de https://sinape2022.eventize.com.br
NLM
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Resposta binária longitudinal usando ligações alternativas para dados médicos [Internet]. Livro de Resumos. 2022 ;[citado 2024 jun. 08 ] Available from: https://sinape2022.eventize.com.br
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Diniz CAR. Resposta binária longitudinal usando ligações alternativas para dados médicos [Internet]. Livro de Resumos. 2022 ;[citado 2024 jun. 08 ] Available from: https://sinape2022.eventize.com.br
Artigo de periodico
Objective Bayesian inference for the capability index of the Weibull distribution and its generalization (2022)
Ramos, Pedro Luiz ; Almeida, Marcello Henrique de ; Louzada, Francisco ; Flores, Edilson ; Moala, Fernando Antonio
Source: Computers & Industrial Engineering. Unidade: ICMC
Subjects: CONTROLE DA QUALIDADE, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. Objective Bayesian inference for the capability index of the Weibull distribution and its generalization. Computers & Industrial Engineering, v. 167, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2022.108012. Acesso em: 08 jun. 2024.
APA
Ramos, P. L., Almeida, M. H. de, Louzada, F., Flores, E., & Moala, F. A. (2022). Objective Bayesian inference for the capability index of the Weibull distribution and its generalization. Computers & Industrial Engineering, 167, 1-9. doi:10.1016/j.cie.2022.108012
NLM
Ramos PL, Almeida MH de, Louzada F, Flores E, Moala FA. Objective Bayesian inference for the capability index of the Weibull distribution and its generalization [Internet]. Computers & Industrial Engineering. 2022 ; 167 1-9.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.cie.2022.108012
Vancouver
Ramos PL, Almeida MH de, Louzada F, Flores E, Moala FA. Objective Bayesian inference for the capability index of the Weibull distribution and its generalization [Internet]. Computers & Industrial Engineering. 2022 ; 167 1-9.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.cie.2022.108012
Artigo de periodico
Objective bayesian inference for the capability index of the gamma distribution (2021)
Almeida, Marcello Henrique de; Ramos, Pedro Luiz ; Rao, Gadde Srinivasa ; Maola, Fernando Antonio
Source: Quality and Reliability Engineering International. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Marcello Henrique de et al. Objective bayesian inference for the capability index of the gamma distribution. Quality and Reliability Engineering International, v. 37, n. 5, p. 2235-2247, 2021Tradução . . Disponível em: https://doi.org/10.1002/qre.2854. Acesso em: 08 jun. 2024.
APA
Almeida, M. H. de, Ramos, P. L., Rao, G. S., & Maola, F. A. (2021). Objective bayesian inference for the capability index of the gamma distribution. Quality and Reliability Engineering International, 37( 5), 2235-2247. doi:10.1002/qre.2854
NLM
Almeida MH de, Ramos PL, Rao GS, Maola FA. Objective bayesian inference for the capability index of the gamma distribution [Internet]. Quality and Reliability Engineering International. 2021 ; 37( 5): 2235-2247.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1002/qre.2854
Vancouver
Almeida MH de, Ramos PL, Rao GS, Maola FA. Objective bayesian inference for the capability index of the gamma distribution [Internet]. Quality and Reliability Engineering International. 2021 ; 37( 5): 2235-2247.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1002/qre.2854
Artigo de periodico
Bayesian inference for zero-and/or-one augmented beta rectangular regression models (2021)
Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 08 jun. 2024.
APA
Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505
NLM
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/21-BJPS505
Vancouver
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/21-BJPS505
Artigo de periodico
Bayesian inference for the pairwise probability of agreement using data from several measurement systems (2021)
Castro, Mário de ; Galea Rojas, Manuel Jesus
Source: Quality Engineering. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, v. 33, n. 4, p. 571-580, 2021Tradução . . Disponível em: https://doi.org/10.1080/08982112.2021.1931317. Acesso em: 08 jun. 2024.
APA
Castro, M. de, & Galea Rojas, M. J. (2021). Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, 33( 4), 571-580. doi:10.1080/08982112.2021.1931317
NLM
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
Vancouver
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
Artigo de periodico
Bayesian reference analysis for the generalized normal linear regression model (2021)
Tomazella, Vera Lucia Damasceno ; Jesus, Sandra Rêgo ; Gazon, Amanda Buosi ; Louzada, Francisco ; Nadarajah, Saralees ; Nascimento, Diego Carvalho ; Rodrigues, Francisco Aparecido ; Ramos, Pedro Luiz
Source: Symmetry. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAZELLA, Vera Lucia Damasceno et al. Bayesian reference analysis for the generalized normal linear regression model. Symmetry, v. 13, n. 5, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13050856. Acesso em: 08 jun. 2024.
APA
Tomazella, V. L. D., Jesus, S. R., Gazon, A. B., Louzada, F., Nadarajah, S., Nascimento, D. C., et al. (2021). Bayesian reference analysis for the generalized normal linear regression model. Symmetry, 13( 5), 1-20. doi:10.3390/sym13050856
NLM
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3390/sym13050856
Vancouver
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3390/sym13050856
Artigo de periodico
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism (2020)
Barriga, Gladys Dorotea Cacsire ; Dey, Dipak Kumar ; Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura
Source: Model Assisted Statistics and Applications. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire et al. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, n. 1, p. 35-51, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190477. Acesso em: 08 jun. 2024.
APA
Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
NLM
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3233/MAS-190477
Vancouver
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3233/MAS-190477
Artigo de periodico
Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework (2020)
Almeida, Marco Pollo ; Paixão, Rafael Soares ; Ramos, Pedro Luiz ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco ; Ehlers, Ricardo Sandes
Source: Reliability Engineering and System Safety. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: MÉTODOS MCMC, ANÁLISE DE DADOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Marco Pollo et al. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework. Reliability Engineering and System Safety, v. 204, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2020.107145. Acesso em: 08 jun. 2024.
APA
Almeida, M. P., Paixão, R. S., Ramos, P. L., Tomazella, V. L. D., Louzada, F., & Ehlers, R. S. (2020). Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework. Reliability Engineering and System Safety, 204, 1-13. doi:10.1016/j.ress.2020.107145
NLM
Almeida MP, Paixão RS, Ramos PL, Tomazella VLD, Louzada F, Ehlers RS. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework [Internet]. Reliability Engineering and System Safety. 2020 ; 204 1-13.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.ress.2020.107145
Vancouver
Almeida MP, Paixão RS, Ramos PL, Tomazella VLD, Louzada F, Ehlers RS. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework [Internet]. Reliability Engineering and System Safety. 2020 ; 204 1-13.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.ress.2020.107145
Artigo de periodico
Dynamic conditional correlation GARCH: a multivariate time series novel using a bayesian approach (2019)
Nascimento, Diego Carvalho do ; Xavier, Cleber Martins; Felipe, Israel ; Louzada, Francisco
Source: Journal of Modern Applied Statistical Methods. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: MÉTODOS MCMC, MERCADO FINANCEIRO, MINERAÇÃO DE DADOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Diego Carvalho do et al. Dynamic conditional correlation GARCH: a multivariate time series novel using a bayesian approach. Journal of Modern Applied Statistical Methods, v. 18, n. 1, p. 1-17, 2019Tradução . . Disponível em: https://doi.org/10.22237/jmasm/1556669220. Acesso em: 08 jun. 2024.
APA
Nascimento, D. C. do, Xavier, C. M., Felipe, I., & Louzada, F. (2019). Dynamic conditional correlation GARCH: a multivariate time series novel using a bayesian approach. Journal of Modern Applied Statistical Methods, 18( 1), 1-17. doi:10.22237/jmasm/1556669220
NLM
Nascimento DC do, Xavier CM, Felipe I, Louzada F. Dynamic conditional correlation GARCH: a multivariate time series novel using a bayesian approach [Internet]. Journal of Modern Applied Statistical Methods. 2019 ; 18( 1): 1-17.[citado 2024 jun. 08 ] Available from: https://doi.org/10.22237/jmasm/1556669220
Vancouver
Nascimento DC do, Xavier CM, Felipe I, Louzada F. Dynamic conditional correlation GARCH: a multivariate time series novel using a bayesian approach [Internet]. Journal of Modern Applied Statistical Methods. 2019 ; 18( 1): 1-17.[citado 2024 jun. 08 ] Available from: https://doi.org/10.22237/jmasm/1556669220
Artigo de periodico
Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach (2019)
Lopes, Lucas Pereira ; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucas Pereira e CANCHO, Vicente Garibay e LOUZADA, Francisco. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 801-825, 2019Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS445. Acesso em: 08 jun. 2024.
APA
Lopes, L. P., Cancho, V. G., & Louzada, F. (2019). Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, 33( 4), 801-825. doi:10.1214/19-BJPS445
NLM
Lopes LP, Cancho VG, Louzada F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/19-BJPS445
Vancouver
Lopes LP, Cancho VG, Louzada F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1214/19-BJPS445
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: 08 jun. 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 jun. 08 ] 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 jun. 08 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Artigo de periodico
Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data (2018)
Saraiva, Erlandson Ferreira; Suzuki, Adriano Kamimura; Milan, Luis Aparecido
Source: Entropy. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson Ferreira e SUZUKI, Adriano Kamimura e MILAN, Luis Aparecido. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data. Entropy, v. 20, n. 9, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.3390/e20090642. Acesso em: 08 jun. 2024.
APA
Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2018). Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data. Entropy, 20( 9), 1-21. doi:10.3390/e20090642
NLM
Saraiva EF, Suzuki AK, Milan LA. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data [Internet]. Entropy. 2018 ; 20( 9): 1-21.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3390/e20090642
Vancouver
Saraiva EF, Suzuki AK, Milan LA. Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data [Internet]. Entropy. 2018 ; 20( 9): 1-21.[citado 2024 jun. 08 ] Available from: https://doi.org/10.3390/e20090642
Artigo de periodico
A quantile parametric mixed regression model for bounded response variables (2017)
Bayes, Cristian L.; Bazán Guzmán, Jorge Luis ; Castro, Mário de
Source: Statistics and Its Interface. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAYES, Cristian L. e BAZÁN GUZMÁN, Jorge Luis e CASTRO, Mário de. A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, v. 10, n. 3, p. 483-493, 2017Tradução . . Disponível em: https://doi.org/10.4310/SII.2017.v10.n3.a11. Acesso em: 08 jun. 2024.
APA
Bayes, C. L., Bazán Guzmán, J. L., & Castro, M. de. (2017). A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, 10( 3), 483-493. doi:10.4310/SII.2017.v10.n3.a11
NLM
Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.[citado 2024 jun. 08 ] Available from: https://doi.org/10.4310/SII.2017.v10.n3.a11
Vancouver
Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.[citado 2024 jun. 08 ] Available from: https://doi.org/10.4310/SII.2017.v10.n3.a11
Artigo de periodico
A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes (2017)
Oliveira, Sandra Cristina de; Cobre, Juliana ; Ferreira, Taiane de Paula
Source: Social Networks. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REDES SOCIAIS, TEORIA DOS GRAFOS, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Sandra Cristina de e COBRE, Juliana e FERREIRA, Taiane de Paula. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes. Social Networks, v. 48, n. Ja 2017, p. 110-115, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.socnet.2016.06.005. Acesso em: 08 jun. 2024.
APA
Oliveira, S. C. de, Cobre, J., & Ferreira, T. de P. (2017). A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes. Social Networks, 48( Ja 2017), 110-115. doi:10.1016/j.socnet.2016.06.005
NLM
Oliveira SC de, Cobre J, Ferreira T de P. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes [Internet]. Social Networks. 2017 ; 48( Ja 2017): 110-115.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.socnet.2016.06.005
Vancouver
Oliveira SC de, Cobre J, Ferreira T de P. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes [Internet]. Social Networks. 2017 ; 48( Ja 2017): 110-115.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1016/j.socnet.2016.06.005
Trabalho de evento-resumo
Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations (2017)
Oliveira, Sandra Cristina de; Cobre, Juliana ; Ferreira, Tatiane de Paula
Source: Abstracts. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC
Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Sandra Cristina de e COBRE, Juliana e FERREIRA, Tatiane de Paula. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. 2017, Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2017. Disponível em: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf. Acesso em: 08 jun. 2024.
APA
Oliveira, S. C. de, Cobre, J., & Ferreira, T. de P. (2017). Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
NLM
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 jun. 08 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
Vancouver
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 jun. 08 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
Artigo de periodico
Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures (2014)
Louzada, Francisco ; Castro, Mário de ; Tomazella, Vera ; Gonzales, Jhon F. B
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, v. 41, n. 3, p. 622-634, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.847067. Acesso em: 08 jun. 2024.
APA
Louzada, F., Castro, M. de, Tomazella, V., & Gonzales, J. F. B. (2014). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, 41( 3), 622-634. doi:10.1080/02664763.2013.847067
NLM
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/02664763.2013.847067
Vancouver
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/02664763.2013.847067

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration