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Artigo de periodico
Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings (2025)
Lassance, Rodrigo Ferrari Lucas; Izbicki, Rafael ; Stern, Rafael Bassi
Fonte: International Journal of Approximate Reasoning. Unidade: IME
Assuntos: INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LASSANCE, Rodrigo Ferrari Lucas e IZBICKI, Rafael e STERN, Rafael Bassi. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings. International Journal of Approximate Reasoning, v. 178, n. artigo 109332, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2024.109332. Acesso em: 09 nov. 2025.
APA
Lassance, R. F. L., Izbicki, R., & Stern, R. B. (2025). Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings. International Journal of Approximate Reasoning, 178( artigo 109332), 1-25. doi:10.1016/j.ijar.2024.109332
NLM
Lassance RFL, Izbicki R, Stern RB. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings [Internet]. International Journal of Approximate Reasoning. 2025 ; 178( artigo 109332): 1-25.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2024.109332
Vancouver
Lassance RFL, Izbicki R, Stern RB. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings [Internet]. International Journal of Approximate Reasoning. 2025 ; 178( artigo 109332): 1-25.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2024.109332
Artigo de periodico
Logical coherence in Bayesian simultaneous three-way hypothesis tests (2023)
Esteves, Luís Gustavo; Izbicki, Rafael ; Stern, Julio Michael ; Stern, Rafael Bassi
Fonte: International Journal of Approximate Reasoning. Unidade: IME
Assunto: ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESTEVES, Luís Gustavo et al. Logical coherence in Bayesian simultaneous three-way hypothesis tests. International Journal of Approximate Reasoning, v. 152, p. 297-309, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2022.10.019. Acesso em: 09 nov. 2025.
APA
Esteves, L. G., Izbicki, R., Stern, J. M., & Stern, R. B. (2023). Logical coherence in Bayesian simultaneous three-way hypothesis tests. International Journal of Approximate Reasoning, 152, 297-309. doi:10.1016/j.ijar.2022.10.019
NLM
Esteves LG, Izbicki R, Stern JM, Stern RB. Logical coherence in Bayesian simultaneous three-way hypothesis tests [Internet]. International Journal of Approximate Reasoning. 2023 ; 152 297-309.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2022.10.019
Vancouver
Esteves LG, Izbicki R, Stern JM, Stern RB. Logical coherence in Bayesian simultaneous three-way hypothesis tests [Internet]. International Journal of Approximate Reasoning. 2023 ; 152 297-309.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2022.10.019
Artigo de periodico
Learning and total evidence with imprecise probabilities (2022)
Gong, Ruobin ; Kadane, Joseph B. ; Schervish, Mark J. ; Seidenfeld, Teddy ; Stern, Rafael Bassi
Fonte: International Journal of Approximate Reasoning. Unidade: IME
Assuntos: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONG, Ruobin et al. Learning and total evidence with imprecise probabilities. International Journal of Approximate Reasoning, v. 151, p. 21-32, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2022.08.016. Acesso em: 09 nov. 2025.
APA
Gong, R., Kadane, J. B., Schervish, M. J., Seidenfeld, T., & Stern, R. B. (2022). Learning and total evidence with imprecise probabilities. International Journal of Approximate Reasoning, 151, 21-32. doi:10.1016/j.ijar.2022.08.016
NLM
Gong R, Kadane JB, Schervish MJ, Seidenfeld T, Stern RB. Learning and total evidence with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2022 ; 151 21-32.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2022.08.016
Vancouver
Gong R, Kadane JB, Schervish MJ, Seidenfeld T, Stern RB. Learning and total evidence with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2022 ; 151 21-32.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2022.08.016
Artigo de periodico
Bayesian robustness under a skew-normal class of prior distribution (2014)
Godoi, Luciana Graziela de; Branco, Marcia D'Elia
Fonte: International Journal of Approximate Reasoning. Unidade: IME
Assuntos: ROBUSTEZ, INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GODOI, Luciana Graziela de e BRANCO, Marcia D'Elia. Bayesian robustness under a skew-normal class of prior distribution. International Journal of Approximate Reasoning, v. 55, n. 5, p. 1235-1251, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2014.03.004. Acesso em: 09 nov. 2025.
APA
Godoi, L. G. de, & Branco, M. D. 'E. (2014). Bayesian robustness under a skew-normal class of prior distribution. International Journal of Approximate Reasoning, 55( 5), 1235-1251. doi:10.1016/j.ijar.2014.03.004
NLM
Godoi LG de, Branco MD'E. Bayesian robustness under a skew-normal class of prior distribution [Internet]. International Journal of Approximate Reasoning. 2014 ; 55( 5): 1235-1251.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2014.03.004
Vancouver
Godoi LG de, Branco MD'E. Bayesian robustness under a skew-normal class of prior distribution [Internet]. International Journal of Approximate Reasoning. 2014 ; 55( 5): 1235-1251.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2014.03.004

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