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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
Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget (2021)
Moreira, Daniel Augusto de Melo; Delgado, Karina Valdivia ; Barros, Leliane Nunes de ; Mauá, Denis Deratani
Fonte: International Journal of Approximate Reasoning. Unidades: EACH, IME
Assuntos: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, PROCESSOS DE MARKOV, TEORIA DOS JOGOS, TEORIA DA DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA, Daniel Augusto de Melo et al. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. International Journal of Approximate Reasoning, v. 139, p. 143-165, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2021.09.003. Acesso em: 09 nov. 2025.
APA
Moreira, D. A. de M., Delgado, K. V., Barros, L. N. de, & Mauá, D. D. (2021). Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. International Journal of Approximate Reasoning, 139, 143-165. doi:10.1016/j.ijar.2021.09.003
NLM
Moreira DA de M, Delgado KV, Barros LN de, Mauá DD. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget [Internet]. International Journal of Approximate Reasoning. 2021 ; 139 143-165.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2021.09.003
Vancouver
Moreira DA de M, Delgado KV, Barros LN de, Mauá DD. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget [Internet]. International Journal of Approximate Reasoning. 2021 ; 139 143-165.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2021.09.003
Artigo de periodico
The effect of combination functions on the complexity of relational Bayesian networks (2017)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Fonte: International Journal of Approximate Reasoning. Unidades: IME, EP
Assuntos: CIÊNCIA DA COMPUTAÇÃO, TEORIA DA COMPUTAÇÃO, ANÁLISE DE ALGORITMOS, ESTATÍSTICA, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, v. 85, p. 178-195, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2017.03.014. Acesso em: 09 nov. 2025.
APA
Mauá, D. D., & Cozman, F. G. (2017). The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, 85, 178-195. doi:10.1016/j.ijar.2017.03.014
NLM
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Vancouver
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Artigo de periodico
Using mathematical programming to solve factored Markov decision processes with imprecise probabilities (2011)
Delgado, Karina Valdivia; Barros, Leliane Nunes de ; Cozman, Fabio Gagliardi ; Sanner, Scott
Fonte: International Journal of Approximate Reasoning. Unidades: EACH, IME, EP
Assunto: PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DELGADO, Karina Valdivia et al. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, v. 52, p. 1000-1017, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2011.04.002. Acesso em: 09 nov. 2025.
APA
Delgado, K. V., Barros, L. N. de, Cozman, F. G., & Sanner, S. (2011). Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, 52, 1000-1017. doi:10.1016/j.ijar.2011.04.002
NLM
Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002
Vancouver
Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002

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