Filtros : "PROBABILIDADE" "Alemanha" Removido: "PROCESSOS DE RAMIFICAÇÃO" Limpar

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  • Source: Theoretical and Applied Genetics. Unidade: ESALQ

    Subjects: INFERÊNCIA BAYESIANA, INTERAÇÃO GENÓTIPO-AMBIENTE, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, TOMADA DE DECISÃO, VARIEDADES VEGETAIS, PROBABILIDADE

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      DIAS, Kaio O. G et al. Leveraging probability concepts for cultivar recommendation in multi‑environment trials. Theoretical and Applied Genetics, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00122-022-04041-y. Acesso em: 27 ago. 2024.
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      Dias, K. O. G., Santos, J. P. R. dos, Krause, M. D., Piepho, H. ‑P., Guimarães, L. J. M., Pastina, M. M., & Garcia, A. A. F. (2022). Leveraging probability concepts for cultivar recommendation in multi‑environment trials. Theoretical and Applied Genetics. doi:10.1007/s00122-022-04041-y
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      Dias KOG, Santos JPR dos, Krause MD, Piepho H‑P, Guimarães LJM, Pastina MM, Garcia AAF. Leveraging probability concepts for cultivar recommendation in multi‑environment trials [Internet]. Theoretical and Applied Genetics. 2022 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00122-022-04041-y
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      Dias KOG, Santos JPR dos, Krause MD, Piepho H‑P, Guimarães LJM, Pastina MM, Garcia AAF. Leveraging probability concepts for cultivar recommendation in multi‑environment trials [Internet]. Theoretical and Applied Genetics. 2022 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00122-022-04041-y
  • Source: Statistical Papers. Unidade: IME

    Subjects: ESTATÍSTICA, PROBABILIDADE, VEROSSIMILHANÇA

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      PATRIOTA, Alexandre Galvão. A measure of evidence based on the likelihood-ratio statistics. Statistical Papers, v. 63, n. 6, p. 1931-1951, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00362-022-01301-3. Acesso em: 27 ago. 2024.
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      Patriota, A. G. (2022). A measure of evidence based on the likelihood-ratio statistics. Statistical Papers, 63( 6), 1931-1951. doi:10.1007/s00362-022-01301-3
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      Patriota AG. A measure of evidence based on the likelihood-ratio statistics [Internet]. Statistical Papers. 2022 ; 63( 6): 1931-1951.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00362-022-01301-3
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      Patriota AG. A measure of evidence based on the likelihood-ratio statistics [Internet]. Statistical Papers. 2022 ; 63( 6): 1931-1951.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00362-022-01301-3
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      SILVA, Marcelo A. da et al. Estimating the DINA model parameters using the No‐U‐Turn Sampler. Biometrical Journal, v. 60, n. 2, p. 352-368, 2018Tradução . . Disponível em: https://doi.org/10.1002/bimj.201600225. Acesso em: 27 ago. 2024.
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      Silva, M. A. da, Oliveira, E. S. B. de, Davier, A. A. von, & Bazán Guzmán, J. L. (2018). Estimating the DINA model parameters using the No‐U‐Turn Sampler. Biometrical Journal, 60( 2), 352-368. doi:10.1002/bimj.201600225
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      Silva MA da, Oliveira ESB de, Davier AA von, Bazán Guzmán JL. Estimating the DINA model parameters using the No‐U‐Turn Sampler [Internet]. Biometrical Journal. 2018 ; 60( 2): 352-368.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/bimj.201600225
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      Silva MA da, Oliveira ESB de, Davier AA von, Bazán Guzmán JL. Estimating the DINA model parameters using the No‐U‐Turn Sampler [Internet]. Biometrical Journal. 2018 ; 60( 2): 352-368.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/bimj.201600225
  • Source: Computational Statistics. Unidade: FEARP

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, ECONOMIA, FINANÇAS

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      LAURINI, Marcio Poletti e HOTTA, Luiz Koodi. Generalized moment estimation of stochastic differential equations. Computational Statistics, v. 31, n. 3, p. 1169-1202, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00180-015-0598-2. Acesso em: 27 ago. 2024.
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      Laurini, M. P., & Hotta, L. K. (2016). Generalized moment estimation of stochastic differential equations. Computational Statistics, 31( 3), 1169-1202. doi:10.1007/s00180-015-0598-2
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      Laurini MP, Hotta LK. Generalized moment estimation of stochastic differential equations [Internet]. Computational Statistics. 2016 ; 31( 3): 1169-1202.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00180-015-0598-2
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      Laurini MP, Hotta LK. Generalized moment estimation of stochastic differential equations [Internet]. Computational Statistics. 2016 ; 31( 3): 1169-1202.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00180-015-0598-2
  • Source: Mathematical foundations and applications of graph entropy. Unidade: IME

    Subjects: TEORIA DOS GRAFOS, PROBABILIDADE, ESTIMAÇÃO PARAMÉTRICA, TESTES DE HIPÓTESES, SELEÇÃO DE MODELOS, BIOESTATÍSTICA

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      SANTOS, Suzana de Siqueira et al. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. Mathematical foundations and applications of graph entropy. Tradução . Weinheim: Wiley-VCH, 2016. . Disponível em: https://doi.org/10.1002/9783527693245.ch6. Acesso em: 27 ago. 2024.
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      Santos, S. de S., Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2016). Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. In Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH. doi:10.1002/9783527693245.ch6
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      Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/9783527693245.ch6
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      Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/9783527693245.ch6
  • Source: Theory in Biosciences. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      FONTANARI, José Fernando e RODRIGUES, Francisco Aparecido. Influence of network topology on cooperative problem-solving systems. Theory in Biosciences, v. 135, n. 3, p. 101-110, 2016Tradução . . Disponível em: https://doi.org/10.1007/s12064-015-0219-1. Acesso em: 27 ago. 2024.
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      Fontanari, J. F., & Rodrigues, F. A. (2016). Influence of network topology on cooperative problem-solving systems. Theory in Biosciences, 135( 3), 101-110. doi:10.1007/s12064-015-0219-1
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      Fontanari JF, Rodrigues FA. Influence of network topology on cooperative problem-solving systems [Internet]. Theory in Biosciences. 2016 ; 135( 3): 101-110.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s12064-015-0219-1
    • Vancouver

      Fontanari JF, Rodrigues FA. Influence of network topology on cooperative problem-solving systems [Internet]. Theory in Biosciences. 2016 ; 135( 3): 101-110.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s12064-015-0219-1
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      LEMONTE, Artur J e BAZÁN GUZMÁN, Jorge Luis. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions. Biometrical Journal, v. 58, n. 4, p. 727–746, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500030. Acesso em: 27 ago. 2024.
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      Lemonte, A. J., & Bazán Guzmán, J. L. (2016). New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions. Biometrical Journal, 58( 4), 727–746. doi:10.1002/bimj.201500030
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      Lemonte AJ, Bazán Guzmán JL. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions [Internet]. Biometrical Journal. 2016 ; 58( 4): 727–746.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/bimj.201500030
    • Vancouver

      Lemonte AJ, Bazán Guzmán JL. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions [Internet]. Biometrical Journal. 2016 ; 58( 4): 727–746.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1002/bimj.201500030
  • Source: Probability Theory and Related Fields. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS ESPECIAIS, PROBABILIDADE

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      DE MASI, Anna e FERRARI, Pablo Augusto e PRESUTTI, Errico. Symmetric simple exclusion process with free boundaries. Probability Theory and Related Fields, v. 161, n. 1-2, p. 155-193, 2015Tradução . . Disponível em: https://doi.org/10.1007/s00440-014-0546-z. Acesso em: 27 ago. 2024.
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      De Masi, A., Ferrari, P. A., & Presutti, E. (2015). Symmetric simple exclusion process with free boundaries. Probability Theory and Related Fields, 161( 1-2), 155-193. doi:10.1007/s00440-014-0546-z
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      De Masi A, Ferrari PA, Presutti E. Symmetric simple exclusion process with free boundaries [Internet]. Probability Theory and Related Fields. 2015 ; 161( 1-2): 155-193.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00440-014-0546-z
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      De Masi A, Ferrari PA, Presutti E. Symmetric simple exclusion process with free boundaries [Internet]. Probability Theory and Related Fields. 2015 ; 161( 1-2): 155-193.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00440-014-0546-z
  • Source: From particle systems to partial differential equations: particle systems and PDEs, Braga, Portugal, December 2012. Conference titles: Particle Systems and Partial Differential Equations. Unidade: IME

    Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS, PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, FÍSICA COMPUTACIONAL

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      BELITSKY, Vladimir e SCHUTZ, Gunter M. Shocks and antishocks in the ASEP conditioned on a low current. 2014, Anais.. Berlin: Springer, 2014. Disponível em: https://doi.org/10.1007/978-3-642-54271-8_3. Acesso em: 27 ago. 2024.
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      Belitsky, V., & Schutz, G. M. (2014). Shocks and antishocks in the ASEP conditioned on a low current. In From particle systems to partial differential equations: particle systems and PDEs, Braga, Portugal, December 2012. Berlin: Springer. doi:10.1007/978-3-642-54271-8_3
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      Belitsky V, Schutz GM. Shocks and antishocks in the ASEP conditioned on a low current [Internet]. From particle systems to partial differential equations: particle systems and PDEs, Braga, Portugal, December 2012. 2014 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/978-3-642-54271-8_3
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      Belitsky V, Schutz GM. Shocks and antishocks in the ASEP conditioned on a low current [Internet]. From particle systems to partial differential equations: particle systems and PDEs, Braga, Portugal, December 2012. 2014 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/978-3-642-54271-8_3
  • Source: Proceedings: ISWC. Conference titles: International Workshop on Uncertainty Reasoning for the Semantic Web. Unidade: EP

    Subjects: REDES NEURAIS, ROBÓTICA, PROBABILIDADE

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      REVOREDO, Kate e LUNA, José Eduardo Ochoa e COZMAN, Fabio Gagliardi. Semantic link prediction through probabilistic description logics. 2011, Anais.. Heidelberg: Springer, 2011. Disponível em: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf. Acesso em: 27 ago. 2024.
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      Revoredo, K., Luna, J. E. O., & Cozman, F. G. (2011). Semantic link prediction through probabilistic description logics. In Proceedings: ISWC. Heidelberg: Springer. Recuperado de https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
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      Revoredo K, Luna JEO, Cozman FG. Semantic link prediction through probabilistic description logics [Internet]. Proceedings: ISWC. 2011 ;[citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
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      Revoredo K, Luna JEO, Cozman FG. Semantic link prediction through probabilistic description logics [Internet]. Proceedings: ISWC. 2011 ;[citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
  • Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Scalable Uncertainty Management. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE, ALGORITMOS, INFERÊNCIA

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      COZMAN, Fabio Gagliardi e POLASTRO, Rodrigo Bellizia. Loopy propagation in a probabilistic description logic. Lecture Notes in Artificial Intelligence. Heidelberg: Springer-Verlag. Disponível em: https://repositorio.usp.br/directbitstream/6554d3ed-c009-4928-83bd-06378d17ffe0/Cozman-2008-Loopy%20Propagation%20in%20a%20Probabilistic%20Description.pdf. Acesso em: 27 ago. 2024. , 2008
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      Cozman, F. G., & Polastro, R. B. (2008). Loopy propagation in a probabilistic description logic. Lecture Notes in Artificial Intelligence. Heidelberg: Springer-Verlag. Recuperado de https://repositorio.usp.br/directbitstream/6554d3ed-c009-4928-83bd-06378d17ffe0/Cozman-2008-Loopy%20Propagation%20in%20a%20Probabilistic%20Description.pdf
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      Cozman FG, Polastro RB. Loopy propagation in a probabilistic description logic [Internet]. Lecture Notes in Artificial Intelligence. 2008 ; 5291 120-133.[citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/6554d3ed-c009-4928-83bd-06378d17ffe0/Cozman-2008-Loopy%20Propagation%20in%20a%20Probabilistic%20Description.pdf
    • Vancouver

      Cozman FG, Polastro RB. Loopy propagation in a probabilistic description logic [Internet]. Lecture Notes in Artificial Intelligence. 2008 ; 5291 120-133.[citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/6554d3ed-c009-4928-83bd-06378d17ffe0/Cozman-2008-Loopy%20Propagation%20in%20a%20Probabilistic%20Description.pdf
  • Source: Proceedings. Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidades: EP, IME

    Subjects: PROBABILIDADE, INTELIGÊNCIA ARTIFICIAL

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      TREVIZAN, Felipe Werndl e COZMAN, Fabio Gagliardi e BARROS, Leliane Nunes de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes. 2006, Anais.. Berlin: Springer, 2006. Disponível em: https://doi.org/10.1007/11874850_54. Acesso em: 27 ago. 2024.
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      Trevizan, F. W., Cozman, F. G., & Barros, L. N. de. (2006). Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes. In Proceedings. Berlin: Springer. doi:10.1007/11874850_54
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      Trevizan FW, Cozman FG, Barros LN de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes [Internet]. Proceedings. 2006 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/11874850_54
    • Vancouver

      Trevizan FW, Cozman FG, Barros LN de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes [Internet]. Proceedings. 2006 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/11874850_54
  • Source: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Unidade: EP

    Subjects: PROBABILIDADE, INTELIGÊNCIA ARTIFICIAL

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      COZMAN, Fabio Gagliardi e CAMPOS, Cassio Polpo de e ROCHA, José Carlos Ferreira da. Probabilistic logic with strong independence. Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Tradução . Berlin: Springer, 2006. . Disponível em: https://repositorio.usp.br/directbitstream/ec8bcfe3-1112-430c-a1a3-7fa0251b8f1f/Cozman-2006-Probabilistic%20Logic%20with%20Strong%20Independence.pdf. Acesso em: 27 ago. 2024.
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      Cozman, F. G., Campos, C. P. de, & Rocha, J. C. F. da. (2006). Probabilistic logic with strong independence. In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Berlin: Springer. Recuperado de https://repositorio.usp.br/directbitstream/ec8bcfe3-1112-430c-a1a3-7fa0251b8f1f/Cozman-2006-Probabilistic%20Logic%20with%20Strong%20Independence.pdf
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      Cozman FG, Campos CP de, Rocha JCF da. Probabilistic logic with strong independence [Internet]. In: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Berlin: Springer; 2006. [citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/ec8bcfe3-1112-430c-a1a3-7fa0251b8f1f/Cozman-2006-Probabilistic%20Logic%20with%20Strong%20Independence.pdf
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      Cozman FG, Campos CP de, Rocha JCF da. Probabilistic logic with strong independence [Internet]. In: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Berlin: Springer; 2006. [citado 2024 ago. 27 ] Available from: https://repositorio.usp.br/directbitstream/ec8bcfe3-1112-430c-a1a3-7fa0251b8f1f/Cozman-2006-Probabilistic%20Logic%20with%20Strong%20Independence.pdf
  • Source: Proceedings. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA

    Subjects: PROBABILIDADE, BIOINFORMÁTICA

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      LEONARDI, Florencia Graciela e GALVES, Antonio. Sequence motif identification and protein family classification using probabilistic trees. 2005, Anais.. Berlin: Springer, 2005. Disponível em: https://doi.org/10.1007/11532323_20. Acesso em: 27 ago. 2024.
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      Leonardi, F. G., & Galves, A. (2005). Sequence motif identification and protein family classification using probabilistic trees. In Proceedings. Berlin: Springer. doi:10.1007/11532323_20
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      Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/11532323_20
    • Vancouver

      Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/11532323_20
  • Source: Bulletin of the Brazilian Mathematical Society. Unidade: IME

    Assunto: PROBABILIDADE

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      FONTES, Luiz Renato e MACHADO, Fábio Prates. The 6th Brazilian School of Probability was held in Ubatuba–SP in August. [Apresentação/Foreword]. Bulletin of the Brazilian Mathematical Society. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s00574-003-0017-0. Acesso em: 27 ago. 2024. , 2003
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      Fontes, L. R., & Machado, F. P. (2003). The 6th Brazilian School of Probability was held in Ubatuba–SP in August. [Apresentação/Foreword]. Bulletin of the Brazilian Mathematical Society. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s00574-003-0017-0
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      Fontes LR, Machado FP. The 6th Brazilian School of Probability was held in Ubatuba–SP in August. [Apresentação/Foreword] [Internet]. Bulletin of the Brazilian Mathematical Society. 2003 ; 34( 3): 347-348.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00574-003-0017-0
    • Vancouver

      Fontes LR, Machado FP. The 6th Brazilian School of Probability was held in Ubatuba–SP in August. [Apresentação/Foreword] [Internet]. Bulletin of the Brazilian Mathematical Society. 2003 ; 34( 3): 347-348.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00574-003-0017-0
  • Source: Stochastic Environmental Research and Risk Assessment (SERRA). Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), PROBABILIDADE

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      BUENO, Ângela Maria de Souza et al. Enviromental genotoxicity evaluation: Bayesian approach for a mixture statistical model. Stochastic Environmental Research and Risk Assessment (SERRA), v. 16, n. 4, p. 267-278, 2002Tradução . . Disponível em: https://doi.org/10.1007/s00477-002-0100-x. Acesso em: 27 ago. 2024.
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      Bueno, Â. M. de S., Pereira, C. A. de B., Rabello-Gay, M. N., & Stern, J. M. (2002). Enviromental genotoxicity evaluation: Bayesian approach for a mixture statistical model. Stochastic Environmental Research and Risk Assessment (SERRA), 16( 4), 267-278. doi:10.1007/s00477-002-0100-x
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      Bueno ÂM de S, Pereira CA de B, Rabello-Gay MN, Stern JM. Enviromental genotoxicity evaluation: Bayesian approach for a mixture statistical model [Internet]. Stochastic Environmental Research and Risk Assessment (SERRA). 2002 ; 16( 4): 267-278.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00477-002-0100-x
    • Vancouver

      Bueno ÂM de S, Pereira CA de B, Rabello-Gay MN, Stern JM. Enviromental genotoxicity evaluation: Bayesian approach for a mixture statistical model [Internet]. Stochastic Environmental Research and Risk Assessment (SERRA). 2002 ; 16( 4): 267-278.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1007/s00477-002-0100-x

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