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Trabalho de evento-anais periodico
Residual analysis in rasch counts models (2021)
Santos, Naiara Caroline Aparecido dos ; Bazán Guzmán, Jorge Luis
Source: Springer Proceedings in Mathematics & Statistics. Conference titles: Annual Meeting of the Psychometric Society. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: TEORIA DE RESPOSTA AO ITEM, PROCESSOS DE POISSON, INFERÊNCIA BAYESIANA
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ABNT
SANTOS, Naiara Caroline Aparecido dos e BAZÁN GUZMÁN, Jorge Luis. Residual analysis in rasch counts models. Springer Proceedings in Mathematics & Statistics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-74772-5_26. Acesso em: 05 nov. 2024. , 2021
APA
Santos, N. C. A. dos, & Bazán Guzmán, J. L. (2021). Residual analysis in rasch counts models. Springer Proceedings in Mathematics & Statistics. Cham: Springer. doi:10.1007/978-3-030-74772-5_26
NLM
Santos NCA dos, Bazán Guzmán JL. Residual analysis in rasch counts models [Internet]. Springer Proceedings in Mathematics & Statistics. 2021 ; 353 285-295.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-74772-5_26
Vancouver
Santos NCA dos, Bazán Guzmán JL. Residual analysis in rasch counts models [Internet]. Springer Proceedings in Mathematics & Statistics. 2021 ; 353 285-295.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-74772-5_26
Monografia/livro-ed/org
Bayesian inference and maximum entropy methods in science and engineering (2018)
Polpo, Adriano (Editor); Stern, Julio Michael (Editor) ; Louzada, Francisco (Editor) ; Izbicki, Rafael (Editor); Takada, Hellinton Hatsuo (Editor)
Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidades: IME, ICMC
Subjects: INFERÊNCIA BAYESIANA, PRINCÍPIO DO MÁXIMO
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ABNT
Bayesian inference and maximum entropy methods in science and engineering. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-91143-4. Acesso em: 05 nov. 2024. , 2018
APA
Bayesian inference and maximum entropy methods in science and engineering. (2018). Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4
NLM
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
Vancouver
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
Trabalho de evento
Sample size calculation using decision theory (2018)
Farhat, Milene Vaiano; Eugenio, Nicholas Wagner; Fossaluza, Victor
Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, TEORIA DA DECISÃO
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FARHAT, Milene Vaiano e EUGENIO, Nicholas Wagner e FOSSALUZA, Victor. Sample size calculation using decision theory. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_16. Acesso em: 05 nov. 2024.
APA
Farhat, M. V., Eugenio, N. W., & Fossaluza, V. (2018). Sample size calculation using decision theory. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_16
NLM
Farhat MV, Eugenio NW, Fossaluza V. Sample size calculation using decision theory [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_16
Vancouver
Farhat MV, Eugenio NW, Fossaluza V. Sample size calculation using decision theory [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_16
Trabalho de evento
Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data (2018)
Hubert Junior, Paulo do Canto ; Stern, Julio Michael ; Padovese, Linilson Rodrigues
Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidades: IME, EP
Subjects: INFERÊNCIA BAYESIANA, ACÚSTICA, PROCESSAMENTO DE SINAIS ACÚSTICOS
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HUBERT JUNIOR, Paulo do Canto e STERN, Julio Michael e PADOVESE, Linilson Rodrigues. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_19. Acesso em: 05 nov. 2024.
APA
Hubert Junior, P. do C., Stern, J. M., & Padovese, L. R. (2018). Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_19
NLM
Hubert Junior P do C, Stern JM, Padovese LR. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_19
Vancouver
Hubert Junior P do C, Stern JM, Padovese LR. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_19
Trabalho de evento
Utility for significance tests (2018)
Moura, Nathália Demetrio Vasconcelos; Wechsler, Sergio
Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, TEORIA DA DECISÃO
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MOURA, Nathália Demetrio Vasconcelos e WECHSLER, Sergio. Utility for significance tests. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_17. Acesso em: 05 nov. 2024.
APA
Moura, N. D. V., & Wechsler, S. (2018). Utility for significance tests. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_17
NLM
Moura NDV, Wechsler S. Utility for significance tests [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_17
Vancouver
Moura NDV, Wechsler S. Utility for significance tests [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_17
Parte de monografia/livro-apres/pref/posf
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio] (2018)
Polpo, Adriano (Prefácio); Stern, Julio Michael (Prefácio) ; Louzada, Francisco (Prefácio) ; Izbicki, Rafael (Prefácio); Takada, Hellinton Hatsuo (Prefácio)
Source: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidades: IME, ICMC
Subjects: INFERÊNCIA BAYESIANA, PRINCÍPIO DO MÁXIMO
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ABNT
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. Disponível em: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf. Acesso em: 05 nov. 2024. , 2018
APA
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. (2018). This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. Recuperado de https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
NLM
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio] [Internet]. Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
Vancouver
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio] [Internet]. Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
Trabalho de evento
The random Bernstein polynomial smoothing via ABC method (2018)
Ferreira, Leandro A; Fossaluza, Victor
Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA COMPUTACIONAL, INFERÊNCIA NÃO PARAMÉTRICA
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FERREIRA, Leandro A e FOSSALUZA, Victor. The random Bernstein polynomial smoothing via ABC method. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_12. Acesso em: 05 nov. 2024.
APA
Ferreira, L. A., & Fossaluza, V. (2018). The random Bernstein polynomial smoothing via ABC method. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_12
NLM
Ferreira LA, Fossaluza V. The random Bernstein polynomial smoothing via ABC method [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_12
Vancouver
Ferreira LA, Fossaluza V. The random Bernstein polynomial smoothing via ABC method [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_12
Trabalho de evento
Bayesian meta-analytic measure (2018)
Martins, Camila B; Pereira, Carlos Alberto de Bragança ; Polpo, Adriano
Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
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ABNT
MARTINS, Camila B e PEREIRA, Carlos Alberto de Bragança e POLPO, Adriano. Bayesian meta-analytic measure. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_4. Acesso em: 05 nov. 2024.
APA
Martins, C. B., Pereira, C. A. de B., & Polpo, A. (2018). Bayesian meta-analytic measure. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_4
NLM
Martins CB, Pereira CA de B, Polpo A. Bayesian meta-analytic measure [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_4
Vancouver
Martins CB, Pereira CA de B, Polpo A. Bayesian meta-analytic measure [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_4
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
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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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
Monografia/livro
Model choice in nonnested families (2016)
Pereira, Basilio de Bragança ; Pereira, Carlos Alberto de Bragança
Unidade: FM
Assunto: INFERÊNCIA BAYESIANA
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ABNT
PEREIRA, Basilio de Bragança e PEREIRA, Carlos Alberto de Bragança. Model choice in nonnested families. . Berlin: Springer. Disponível em: https://doi.org/10.1007/978-3-662-53736-7. Acesso em: 05 nov. 2024. , 2016
APA
Pereira, B. de B., & Pereira, C. A. de B. (2016). Model choice in nonnested families. Berlin: Springer. doi:10.1007/978-3-662-53736-7
NLM
Pereira B de B, Pereira CA de B. Model choice in nonnested families [Internet]. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-662-53736-7
Vancouver
Pereira B de B, Pereira CA de B. Model choice in nonnested families [Internet]. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-662-53736-7
Trabalho de evento
Classifying the origin of archeological fragments with Bayesian networks (2015)
Oliveira, Melaine Cristina de; Soreira, Andressa; Fossaluza, Victor
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
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ABNT
OLIVEIRA, Melaine Cristina de e SOREIRA, Andressa e FOSSALUZA, Victor. Classifying the origin of archeological fragments with Bayesian networks. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_24. Acesso em: 05 nov. 2024.
APA
Oliveira, M. C. de, Soreira, A., & Fossaluza, V. (2015). Classifying the origin of archeological fragments with Bayesian networks. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_24
NLM
Oliveira MC de, Soreira A, Fossaluza V. Classifying the origin of archeological fragments with Bayesian networks [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_24
Vancouver
Oliveira MC de, Soreira A, Fossaluza V. Classifying the origin of archeological fragments with Bayesian networks [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_24
Trabalho de evento
Bayesian hypothesis testing in finite populations: Bernoulli multivariate variables (2015)
Melo, Brian Alvarez Ribeiro de; Esteves, Luis Gustavo
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, TESTES DE HIPÓTESES
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ABNT
MELO, Brian Alvarez Ribeiro de e ESTEVES, Luis Gustavo. Bayesian hypothesis testing in finite populations: Bernoulli multivariate variables. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_16. Acesso em: 05 nov. 2024.
APA
Melo, B. A. R. de, & Esteves, L. G. (2015). Bayesian hypothesis testing in finite populations: Bernoulli multivariate variables. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_16
NLM
Melo BAR de, Esteves LG. Bayesian hypothesis testing in finite populations: Bernoulli multivariate variables [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_16
Vancouver
Melo BAR de, Esteves LG. Bayesian hypothesis testing in finite populations: Bernoulli multivariate variables [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_16
Trabalho de evento
Bayes factors for comparison of restricted simple linear regression coefficients (2015)
Giampaoli, Viviana ; Pereira, Carlos Alberto de Bragança ; Bolfarine, Heleno ; Singer, Júlio da Motta
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
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ABNT
GIAMPAOLI, Viviana et al. Bayes factors for comparison of restricted simple linear regression coefficients. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_9. Acesso em: 05 nov. 2024.
APA
Giampaoli, V., Pereira, C. A. de B., Bolfarine, H., & Singer, J. da M. (2015). Bayes factors for comparison of restricted simple linear regression coefficients. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_9
NLM
Giampaoli V, Pereira CA de B, Bolfarine H, Singer J da M. Bayes factors for comparison of restricted simple linear regression coefficients [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_9
Vancouver
Giampaoli V, Pereira CA de B, Bolfarine H, Singer J da M. Bayes factors for comparison of restricted simple linear regression coefficients [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_9
Monografia/livro-ed/org
Interdisciplinary Bayesian statistics: EBEB 2014 (2015)
Campos, Adriano Polpo de (Editor); Louzada, Francisco (Editor) ; Rifo, Laura Leticia Ramos (Editor); Stern, Julio Michael (Editor) ; Lauretto, Marcelo de Souza
Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidades: ICMC, IME, EACH
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
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ABNT
LAURETTO, Marcelo de Souza. Interdisciplinary Bayesian statistics: EBEB 2014. . Cham (ZG), Switzerland: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4. Acesso em: 05 nov. 2024. , 2015
APA
Lauretto, M. de S. (2015). Interdisciplinary Bayesian statistics: EBEB 2014. Cham (ZG), Switzerland: Springer. doi:10.1007/978-3-319-12454-4
NLM
Lauretto M de S. Interdisciplinary Bayesian statistics: EBEB 2014 [Internet]. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4
Vancouver
Lauretto M de S. Interdisciplinary Bayesian statistics: EBEB 2014 [Internet]. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4
Trabalho de evento-anais periodico
Bayesian partition for variable selection in the power series cure rate model (2015)
Gonzales, Jhon F. B; Tomazella, Vera L. D; Castro, Mário de
Source: Interdisciplinary Bayesian Statistics: EBEB 2014. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA, ESTATÍSTICA APLICADA
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ABNT
GONZALES, Jhon F. B e TOMAZELLA, Vera L. D e CASTRO, Mário de. Bayesian partition for variable selection in the power series cure rate model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_26. Acesso em: 05 nov. 2024. , 2015
APA
Gonzales, J. F. B., Tomazella, V. L. D., & Castro, M. de. (2015). Bayesian partition for variable selection in the power series cure rate model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_26
NLM
Gonzales JFB, Tomazella VLD, Castro M de. Bayesian partition for variable selection in the power series cure rate model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_26
Vancouver
Gonzales JFB, Tomazella VLD, Castro M de. Bayesian partition for variable selection in the power series cure rate model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_26
Trabalho de evento-anais periodico
A Weibull mixture model for the votes of a brazilian political party (2015)
Paz, Rosineide F; Ehlers, Ricardo Sandes ; Bazán Guzmán, Jorge Luis
Source: Interdisciplinary Bayesian Statistics: EBEB 2014. Unidade: ICMC
Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide F e EHLERS, Ricardo Sandes e BAZÁN GUZMÁN, Jorge Luis. A Weibull mixture model for the votes of a brazilian political party. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_19. Acesso em: 05 nov. 2024. , 2015
APA
Paz, R. F., Ehlers, R. S., & Bazán Guzmán, J. L. (2015). A Weibull mixture model for the votes of a brazilian political party. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_19
NLM
Paz RF, Ehlers RS, Bazán Guzmán JL. A Weibull mixture model for the votes of a brazilian political party [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_19
Vancouver
Paz RF, Ehlers RS, Bazán Guzmán JL. A Weibull mixture model for the votes of a brazilian political party [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_19
Trabalho de evento-anais periodico
Bayesian approach of the exponential poisson logarithmic model (2015)
Fioruci, José Augusto; Yiqi, Bao; Louzada, Francisco ; Cancho, Vicente Garibay
Source: Interdisciplinary Bayesian Statistics: EBEB 2014. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA, ESTATÍSTICA APLICADA
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ABNT
FIORUCI, José Augusto et al. Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_21. Acesso em: 05 nov. 2024. , 2015
APA
Fioruci, J. A., Yiqi, B., Louzada, F., & Cancho, V. G. (2015). Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_21
NLM
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
Vancouver
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
Trabalho de evento
Bayesian semiparametric symmetric models for binary data (2015)
Diniz, Marcio Augusto; Pereira, Carlos Alberto de Bragança ; Campos, Adriano Polpo de
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DINIZ, Marcio Augusto e PEREIRA, Carlos Alberto de Bragança e CAMPOS, Adriano Polpo de. Bayesian semiparametric symmetric models for binary data. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_27. Acesso em: 05 nov. 2024.
APA
Diniz, M. A., Pereira, C. A. de B., & Campos, A. P. de. (2015). Bayesian semiparametric symmetric models for binary data. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_27
NLM
Diniz MA, Pereira CA de B, Campos AP de. Bayesian semiparametric symmetric models for binary data [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_27
Vancouver
Diniz MA, Pereira CA de B, Campos AP de. Bayesian semiparametric symmetric models for binary data [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_27
Trabalho de evento
Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma (2015)
Stern, Julio Michael
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STERN, Julio Michael. Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_5. Acesso em: 05 nov. 2024.
APA
Stern, J. M. (2015). Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_5
NLM
Stern JM. Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_5
Vancouver
Stern JM. Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_5
Trabalho de evento
Combining optimization and randomization approaches for the design of clinical trials (2015)
Fossaluza, Victor ; Lauretto, Marcelo de Souza; Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Source: Interdisciplinary Bayesian statistics. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidades: IME, EACH
Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FOSSALUZA, Victor et al. Combining optimization and randomization approaches for the design of clinical trials. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_14. Acesso em: 05 nov. 2024.
APA
Fossaluza, V., Lauretto, M. de S., Pereira, C. A. de B., & Stern, J. M. (2015). Combining optimization and randomization approaches for the design of clinical trials. In Interdisciplinary Bayesian statistics. Cham: Springer. doi:10.1007/978-3-319-12454-4_14
NLM
Fossaluza V, Lauretto M de S, Pereira CA de B, Stern JM. Combining optimization and randomization approaches for the design of clinical trials [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_14
Vancouver
Fossaluza V, Lauretto M de S, Pereira CA de B, Stern JM. Combining optimization and randomization approaches for the design of clinical trials [Internet]. Interdisciplinary Bayesian statistics. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_14

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