Filtros : "Indexado no ISI Web of Knowledge" "ANÁLISE DE SÉRIES TEMPORAIS" Removidos: "Bélgica" "Ferreira, João Eduardo" Limpar

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  • Source: IEEE-ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, EXPRESSÃO GÊNICA, ANÁLISE DE SÉRIES TEMPORAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      HIGA, Carlos H. A e ANDRADE, Tales Pinheiro de e HASHIMOTO, Ronaldo Fumio. Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, v. 10, n. 1, p. 37-49, 2013Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2012.169. Acesso em: 05 ago. 2024.
    • APA

      Higa, C. H. A., Andrade, T. P. de, & Hashimoto, R. F. (2013). Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10( 1), 37-49. doi:10.1109/TCBB.2012.169
    • NLM

      Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1109/TCBB.2012.169
    • Vancouver

      Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1109/TCBB.2012.169
  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES, ANÁLISE DE SÉRIES TEMPORAIS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DINIZ, M e PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. Cointegration: Bayesian significance test. Communications in Statistics. Theory and Methods, v. 41, n. 19, p. 3562-3474, 2012Tradução . . Disponível em: https://doi.org/10.1080/03610926.2011.563021. Acesso em: 05 ago. 2024.
    • APA

      Diniz, M., Pereira, C. A. de B., & Stern, J. M. (2012). Cointegration: Bayesian significance test. Communications in Statistics. Theory and Methods, 41( 19), 3562-3474. doi:10.1080/03610926.2011.563021
    • NLM

      Diniz M, Pereira CA de B, Stern JM. Cointegration: Bayesian significance test [Internet]. Communications in Statistics. Theory and Methods. 2012 ; 41( 19): 3562-3474.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/03610926.2011.563021
    • Vancouver

      Diniz M, Pereira CA de B, Stern JM. Cointegration: Bayesian significance test [Internet]. Communications in Statistics. Theory and Methods. 2012 ; 41( 19): 3562-3474.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/03610926.2011.563021
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

    How to cite
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    • ABNT

      SATO, João Ricardo et al. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation, 2008Tradução . . Acesso em: 05 ago. 2024.
    • APA

      Sato, J. R., Costafreda, S., Morettin, P. A., & Brammer, M. J. (2008). Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation.
    • NLM

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2024 ago. 05 ]
    • Vancouver

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2024 ago. 05 ]

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