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Filtros : "Entropy" "2017" Limpar

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  • Artigo de periodico

    Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions (2017)

    Pereira, Carlos Alberto de Bragança ; Nakano, Eduardo; Fossaluza, Victor ; Esteves, Luís Gustavo; Gannon, Mark; Polpo, Adriano

    Source: Entropy. Unidade: IME

    Assunto: ESTATÍSTICA APLICADA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      PEREIRA, Carlos Alberto de Bragança et al. Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions. Entropy, v. 19, n. 12, p. 1-15, 2017Tradução . . Disponível em: https://doi.org/10.3390/e19120696. Acesso em: 16 nov. 2025.

    • APA

      Pereira, C. A. de B., Nakano, E., Fossaluza, V., Esteves, L. G., Gannon, M., & Polpo, A. (2017). Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions. Entropy, 19( 12), 1-15. doi:10.3390/e19120696

    • NLM

      Pereira CA de B, Nakano E, Fossaluza V, Esteves LG, Gannon M, Polpo A. Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions [Internet]. Entropy. 2017 ; 19( 12): 1-15.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19120696

    • Vancouver

      Pereira CA de B, Nakano E, Fossaluza V, Esteves LG, Gannon M, Polpo A. Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions [Internet]. Entropy. 2017 ; 19( 12): 1-15.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19120696

  • Trabalho de evento-anais periodico

    L1-minimization algorithm for Bayesian online compressed sensing (2017)

    Rossi, Paulo; Vicente, Renato

    Source: Entropy. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2017. Unidade: IME

    Subjects: MATEMÁTICA APLICADA, INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
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    • ABNT

      ROSSI, Paulo e VICENTE, Renato. L1-minimization algorithm for Bayesian online compressed sensing. Entropy. Basel: MDPI. Disponível em: https://doi.org/10.3390/e19120667. Acesso em: 16 nov. 2025. , 2017

    • APA

      Rossi, P., & Vicente, R. (2017). L1-minimization algorithm for Bayesian online compressed sensing. Entropy. Basel: MDPI. doi:10.3390/e19120667

    • NLM

      Rossi P, Vicente R. L1-minimization algorithm for Bayesian online compressed sensing [Internet]. Entropy. 2017 ; 19( 12): 1-10.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19120667

    • Vancouver

      Rossi P, Vicente R. L1-minimization algorithm for Bayesian online compressed sensing [Internet]. Entropy. 2017 ; 19( 12): 1-10.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19120667

  • Artigo de periodico

    Self-organized supercriticality and oscillations in networks of stochastic spiking neurons (2017)

    Costa, Ariadne; Brochini, Ludmila; Kinouchi, Osame

    Source: Entropy. Unidade: FFCLRP

    Subjects: REDES NEURAIS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      COSTA, Ariadne e BROCHINI, Ludmila e KINOUCHI, Osame. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons. Entropy, v. 19, n. 8, 2017Tradução . . Disponível em: https://doi.org/10.3390/e19080399. Acesso em: 16 nov. 2025.

    • APA

      Costa, A., Brochini, L., & Kinouchi, O. (2017). Self-organized supercriticality and oscillations in networks of stochastic spiking neurons. Entropy, 19( 8). doi:10.3390/e19080399

    • NLM

      Costa A, Brochini L, Kinouchi O. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons [Internet]. Entropy. 2017 ; 19( 8):[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19080399

    • Vancouver

      Costa A, Brochini L, Kinouchi O. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons [Internet]. Entropy. 2017 ; 19( 8):[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/e19080399
  • 1

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