Filtros : "LEONARDI, FLORENCIA GRACIELA" "IME" "Brasil" Limpar

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  • Source: ESAIM: Probability and Statistics. Unidade: IME

    Subjects: PASSEIOS ALEATÓRIOS, MECÂNICA ESTATÍSTICA, CADEIAS DE MARKOV

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    • ABNT

      CERQUEIRA, Andressa e GARIVIER, Aurélien e LEONARDI, Florencia Graciela. A note on perfect simulation for Exponential Random Graph Models. ESAIM: Probability and Statistics, v. 24, p. 138-147, 2020Tradução . . Disponível em: https://doi.org/10.1051/ps/2019024. Acesso em: 05 set. 2024.
    • APA

      Cerqueira, A., Garivier, A., & Leonardi, F. G. (2020). A note on perfect simulation for Exponential Random Graph Models. ESAIM: Probability and Statistics, 24, 138-147. doi:10.1051/ps/2019024
    • NLM

      Cerqueira A, Garivier A, Leonardi FG. A note on perfect simulation for Exponential Random Graph Models [Internet]. ESAIM: Probability and Statistics. 2020 ; 24 138-147.[citado 2024 set. 05 ] Available from: https://doi.org/10.1051/ps/2019024
    • Vancouver

      Cerqueira A, Garivier A, Leonardi FG. A note on perfect simulation for Exponential Random Graph Models [Internet]. ESAIM: Probability and Statistics. 2020 ; 24 138-147.[citado 2024 set. 05 ] Available from: https://doi.org/10.1051/ps/2019024
  • Source: IEEE Transactions on Information Theory. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      CERQUEIRA, Andressa e LEONARDI, Florencia Graciela. Estimation of the number of communities in the stochastic block model. IEEE Transactions on Information Theory, v. 66, n. 10, p. 6403-6412, 2020Tradução . . Disponível em: https://doi.org/10.1109/TIT.2020.3016331. Acesso em: 05 set. 2024.
    • APA

      Cerqueira, A., & Leonardi, F. G. (2020). Estimation of the number of communities in the stochastic block model. IEEE Transactions on Information Theory, 66( 10), 6403-6412. doi:10.1109/TIT.2020.3016331
    • NLM

      Cerqueira A, Leonardi FG. Estimation of the number of communities in the stochastic block model [Internet]. IEEE Transactions on Information Theory. 2020 ; 66( 10): 6403-6412.[citado 2024 set. 05 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
    • Vancouver

      Cerqueira A, Leonardi FG. Estimation of the number of communities in the stochastic block model [Internet]. IEEE Transactions on Information Theory. 2020 ; 66( 10): 6403-6412.[citado 2024 set. 05 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
  • Source: Journal of Multivariate Analysis. Unidades: IB, IME

    Assunto: INFERÊNCIA NÃO PARAMÉTRICA

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    • ABNT

      CASTRO, Bruno M. et al. A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, v. 167, p. 319-330, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jmva.2018.05.006. Acesso em: 05 set. 2024.
    • APA

      Castro, B. M., Lemes, R. B., César, J. E. da S., Hünemeier, T., & Leonardi, F. G. (2018). A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, 167, 319-330. doi:10.1016/j.jmva.2018.05.006
    • NLM

      Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006
    • Vancouver

      Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006
  • Source: IEEE Transactions on Network Science and Engineering. Unidade: IME

    Assunto: GRAFOS ALEATÓRIOS

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    • ABNT

      CERQUEIRA, Andressa et al. A test of hypotheses for random graph distributions built from EEG data. IEEE Transactions on Network Science and Engineering, v. 4, n. 2, p. 75-82, 2017Tradução . . Disponível em: https://doi.org/10.1109/tnse.2017.2674026. Acesso em: 05 set. 2024.
    • APA

      Cerqueira, A., Fraiman, D., Vargas, C. D., & Leonardi, F. G. (2017). A test of hypotheses for random graph distributions built from EEG data. IEEE Transactions on Network Science and Engineering, 4( 2), 75-82. doi:10.1109/tnse.2017.2674026
    • NLM

      Cerqueira A, Fraiman D, Vargas CD, Leonardi FG. A test of hypotheses for random graph distributions built from EEG data [Internet]. IEEE Transactions on Network Science and Engineering. 2017 ; 4( 2): 75-82.[citado 2024 set. 05 ] Available from: https://doi.org/10.1109/tnse.2017.2674026
    • Vancouver

      Cerqueira A, Fraiman D, Vargas CD, Leonardi FG. A test of hypotheses for random graph distributions built from EEG data [Internet]. IEEE Transactions on Network Science and Engineering. 2017 ; 4( 2): 75-82.[citado 2024 set. 05 ] Available from: https://doi.org/10.1109/tnse.2017.2674026
  • Source: Annals of Applied Statistics. Unidade: IME

    Assunto: CADEIAS DE MARKOV

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    • ABNT

      GALVES, Antonio et al. Context tree selection and linguistic rhythm retrieval from written texts. Annals of Applied Statistics, v. 6, n. 1, p. 189-209, 2012Tradução . . Disponível em: https://doi.org/10.1214/11-AOAS511. Acesso em: 05 set. 2024.
    • APA

      Galves, A., Galves, C., Garcia, J. E., Garcia, N. L., & Leonardi, F. G. (2012). Context tree selection and linguistic rhythm retrieval from written texts. Annals of Applied Statistics, 6( 1), 189-209. doi:10.1214/11-AOAS511
    • NLM

      Galves A, Galves C, Garcia JE, Garcia NL, Leonardi FG. Context tree selection and linguistic rhythm retrieval from written texts [Internet]. Annals of Applied Statistics. 2012 ; 6( 1): 189-209.[citado 2024 set. 05 ] Available from: https://doi.org/10.1214/11-AOAS511
    • Vancouver

      Galves A, Galves C, Garcia JE, Garcia NL, Leonardi FG. Context tree selection and linguistic rhythm retrieval from written texts [Internet]. Annals of Applied Statistics. 2012 ; 6( 1): 189-209.[citado 2024 set. 05 ] Available from: https://doi.org/10.1214/11-AOAS511

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