ReP USP - Resultado da busca

Parte de monografia/livro
E‐value (2022)
Diniz, Marcio A.; Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Source: Wiley StatsRef : statistics reference online. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DINIZ, Marcio A. e PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. E‐value. Wiley StatsRef : statistics reference online. Tradução . Hoboken: John Wiley, 2022. . Disponível em: https://doi.org/10.1002/9781118445112.stat08375. Acesso em: 16 abr. 2026.
APA
Diniz, M. A., Pereira, C. A. de B., & Stern, J. M. (2022). E‐value. In Wiley StatsRef : statistics reference online. Hoboken: John Wiley. doi:10.1002/9781118445112.stat08375
NLM
Diniz MA, Pereira CA de B, Stern JM. E‐value [Internet]. In: Wiley StatsRef : statistics reference online. Hoboken: John Wiley; 2022. [citado 2026 abr. 16 ] Available from: https://doi.org/10.1002/9781118445112.stat08375
Vancouver
Diniz MA, Pereira CA de B, Stern JM. E‐value [Internet]. In: Wiley StatsRef : statistics reference online. Hoboken: John Wiley; 2022. [citado 2026 abr. 16 ] Available from: https://doi.org/10.1002/9781118445112.stat08375
Parte de monografia/livro
Color-coded epistemic modes in a jungian hexagon of opposition (2022)
Stern, Julio Michael
Source: The Exoteric Square of Opposition. Unidade: IME
Subjects: LÓGICA MATEMÁTICA, ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STERN, Julio Michael. Color-coded epistemic modes in a jungian hexagon of opposition. The Exoteric Square of Opposition. Tradução . Cham: Springer, 2022. p. 31 . Disponível em: https://doi.org/10.1007/978-3-030-90823-2_14. Acesso em: 16 abr. 2026.
APA
Stern, J. M. (2022). Color-coded epistemic modes in a jungian hexagon of opposition. In The Exoteric Square of Opposition (p. 31 ). Cham: Springer. doi:10.1007/978-3-030-90823-2_14
NLM
Stern JM. Color-coded epistemic modes in a jungian hexagon of opposition [Internet]. In: The Exoteric Square of Opposition. Cham: Springer; 2022. p. 31 .[citado 2026 abr. 16 ] Available from: https://doi.org/10.1007/978-3-030-90823-2_14
Vancouver
Stern JM. Color-coded epistemic modes in a jungian hexagon of opposition [Internet]. In: The Exoteric Square of Opposition. Cham: Springer; 2022. p. 31 .[citado 2026 abr. 16 ] Available from: https://doi.org/10.1007/978-3-030-90823-2_14
Artigo de periodico
Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy (2022)
Miguel, Miguel Gabriel Ribeiro; Waissman, Rafael P.; Lauretto, Marcelo de Souza ; Stern, Julio Michael
Source: Entropy. Unidades: IME, EACH
Subjects: COVID-19, ESTUDOS RANDOMIZADOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIGUEL, Miguel Gabriel Ribeiro et al. Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy. Entropy, v. 24, n. artigo 225, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.3390/e24020225. Acesso em: 16 abr. 2026.
APA
Miguel, M. G. R., Waissman, R. P., Lauretto, M. de S., & Stern, J. M. (2022). Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy. Entropy, 24( artigo 225), 1-13. doi:10.3390/e24020225
NLM
Miguel MGR, Waissman RP, Lauretto M de S, Stern JM. Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy [Internet]. Entropy. 2022 ; 24( artigo 225): 1-13.[citado 2026 abr. 16 ] Available from: https://doi.org/10.3390/e24020225
Vancouver
Miguel MGR, Waissman RP, Lauretto M de S, Stern JM. Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy [Internet]. Entropy. 2022 ; 24( artigo 225): 1-13.[citado 2026 abr. 16 ] Available from: https://doi.org/10.3390/e24020225
Artigo de periodico
Learning forecast-efficient yield curve factor decompositions with neural networks (2022)
Kauffmann, Piero Conti; Takada, Hellinton Hatsuo ; Terada, Ana Paula Takahashi; Stern, Julio Michael
Source: Econometrics. Unidade: IME
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KAUFFMANN, Piero Conti et al. Learning forecast-efficient yield curve factor decompositions with neural networks. Econometrics, v. 10, n. 2, p. 1-5, 2022Tradução . . Disponível em: https://doi.org/10.3390/econometrics10020015. Acesso em: 16 abr. 2026.
APA
Kauffmann, P. C., Takada, H. H., Terada, A. P. T., & Stern, J. M. (2022). Learning forecast-efficient yield curve factor decompositions with neural networks. Econometrics, 10( 2), 1-5. doi:10.3390/econometrics10020015
NLM
Kauffmann PC, Takada HH, Terada APT, Stern JM. Learning forecast-efficient yield curve factor decompositions with neural networks [Internet]. Econometrics. 2022 ; 10( 2): 1-5.[citado 2026 abr. 16 ] Available from: https://doi.org/10.3390/econometrics10020015
Vancouver
Kauffmann PC, Takada HH, Terada APT, Stern JM. Learning forecast-efficient yield curve factor decompositions with neural networks [Internet]. Econometrics. 2022 ; 10( 2): 1-5.[citado 2026 abr. 16 ] Available from: https://doi.org/10.3390/econometrics10020015
Artigo de periodico
The e-value: a fully Bayesian significance measure for precise statistical hypotheses and its research program (2022)
Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Source: São Paulo Journal of Mathematical Sciences. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. The e-value: a fully Bayesian significance measure for precise statistical hypotheses and its research program. São Paulo Journal of Mathematical Sciences, v. 16, n. 1, p. 566-584, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-020-00171-7. Acesso em: 16 abr. 2026.
APA
Pereira, C. A. de B., & Stern, J. M. (2022). The e-value: a fully Bayesian significance measure for precise statistical hypotheses and its research program. São Paulo Journal of Mathematical Sciences, 16( 1), 566-584. doi:10.1007/s40863-020-00171-7
NLM
Pereira CA de B, Stern JM. The e-value: a fully Bayesian significance measure for precise statistical hypotheses and its research program [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ; 16( 1): 566-584.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1007/s40863-020-00171-7
Vancouver
Pereira CA de B, Stern JM. The e-value: a fully Bayesian significance measure for precise statistical hypotheses and its research program [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ; 16( 1): 566-584.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1007/s40863-020-00171-7

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