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  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

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      CARVALHO, Gustavo Oshiro de e MACHADO, Fábio Prates. The coverage ratio of the frog model on complete graphs. Journal of Statistical Physics, v. 190, n. artigo 147, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10955-023-03156-w. Acesso em: 26 set. 2024.
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      Carvalho, G. O. de, & Machado, F. P. (2023). The coverage ratio of the frog model on complete graphs. Journal of Statistical Physics, 190( artigo 147), 1-11. doi:10.1007/s10955-023-03156-w
    • NLM

      Carvalho GO de, Machado FP. The coverage ratio of the frog model on complete graphs [Internet]. Journal of Statistical Physics. 2023 ; 190( artigo 147): 1-11.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-023-03156-w
    • Vancouver

      Carvalho GO de, Machado FP. The coverage ratio of the frog model on complete graphs [Internet]. Journal of Statistical Physics. 2023 ; 190( artigo 147): 1-11.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-023-03156-w
  • Source: Journal of Statistical Physics. Unidade: IF

    Subjects: FÍSICA MATEMÁTICA, MECÂNICA ESTATÍSTICA, PROBABILIDADE

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      KROSCHINSKY, Wilhelm e MARCHETTI, Domingos Humberto Urbano. On the Mayer Series of Two-Dimensional Yukawa Gas at Inverse Temperature in the Interval of Collapse. Journal of Statistical Physics, v. 177, n. 2, p. 324–364, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10955-019-02370-9. Acesso em: 26 set. 2024.
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      Kroschinsky, W., & Marchetti, D. H. U. (2019). On the Mayer Series of Two-Dimensional Yukawa Gas at Inverse Temperature in the Interval of Collapse. Journal of Statistical Physics, 177( 2), 324–364. doi:10.1007/s10955-019-02370-9
    • NLM

      Kroschinsky W, Marchetti DHU. On the Mayer Series of Two-Dimensional Yukawa Gas at Inverse Temperature in the Interval of Collapse [Internet]. Journal of Statistical Physics. 2019 ; 177( 2): 324–364.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-019-02370-9
    • Vancouver

      Kroschinsky W, Marchetti DHU. On the Mayer Series of Two-Dimensional Yukawa Gas at Inverse Temperature in the Interval of Collapse [Internet]. Journal of Statistical Physics. 2019 ; 177( 2): 324–364.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-019-02370-9
  • Source: Journal of Statistical Physics. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS, PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      KANG, Mihyun e PACHON, Angelica e RODRIGUEZ, Pablo Martin. Evolution of a modified binomial random graph by agglomeration. Journal of Statistical Physics, v. Fe 2018, n. 3, p. 509-535, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10955-017-1940-6. Acesso em: 26 set. 2024.
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      Kang, M., Pachon, A., & Rodriguez, P. M. (2018). Evolution of a modified binomial random graph by agglomeration. Journal of Statistical Physics, Fe 2018( 3), 509-535. doi:10.1007/s10955-017-1940-6
    • NLM

      Kang M, Pachon A, Rodriguez PM. Evolution of a modified binomial random graph by agglomeration [Internet]. Journal of Statistical Physics. 2018 ; Fe 2018( 3): 509-535.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-017-1940-6
    • Vancouver

      Kang M, Pachon A, Rodriguez PM. Evolution of a modified binomial random graph by agglomeration [Internet]. Journal of Statistical Physics. 2018 ; Fe 2018( 3): 509-535.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-017-1940-6
  • Source: Journal of Statistical Physics. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS, PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      AGLIARI, Elena et al. Phase transition for the Maki–Thompson rumour model on a small-world network. Journal of Statistical Physics, v. No 2017, n. 4, p. 846-875, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10955-017-1892-x. Acesso em: 26 set. 2024.
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      Agliari, E., Pachon, A., Rodriguez, P. M., & Tavani, F. (2017). Phase transition for the Maki–Thompson rumour model on a small-world network. Journal of Statistical Physics, No 2017( 4), 846-875. doi:10.1007/s10955-017-1892-x
    • NLM

      Agliari E, Pachon A, Rodriguez PM, Tavani F. Phase transition for the Maki–Thompson rumour model on a small-world network [Internet]. Journal of Statistical Physics. 2017 ; No 2017( 4): 846-875.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-017-1892-x
    • Vancouver

      Agliari E, Pachon A, Rodriguez PM, Tavani F. Phase transition for the Maki–Thompson rumour model on a small-world network [Internet]. Journal of Statistical Physics. 2017 ; No 2017( 4): 846-875.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-017-1892-x
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, PROCESSOS ESTOCÁSTICOS ESPECIAIS, PROCESSOS DE MARKOV

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      DE MASI, Anna et al. Hydrodynamic limit for interacting neurons. Journal of Statistical Physics, v. 158, n. 4, p. 866-902, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10955-014-1145-1. Acesso em: 26 set. 2024.
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      De Masi, A., Galves, A., Löcherbach, E., & Presutti, E. (2015). Hydrodynamic limit for interacting neurons. Journal of Statistical Physics, 158( 4), 866-902. doi:10.1007/s10955-014-1145-1
    • NLM

      De Masi A, Galves A, Löcherbach E, Presutti E. Hydrodynamic limit for interacting neurons [Internet]. Journal of Statistical Physics. 2015 ; 158( 4): 866-902.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-014-1145-1
    • Vancouver

      De Masi A, Galves A, Löcherbach E, Presutti E. Hydrodynamic limit for interacting neurons [Internet]. Journal of Statistical Physics. 2015 ; 158( 4): 866-902.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-014-1145-1
  • Source: Journal of Statistical Physics. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, PROBABILIDADE

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      COLETTI, Cristian Favio e RODRÍGUEZ, Pablo Martín e SCHINAZI, Rinaldo B. A spatial stochastic model for rumor transmission. Journal of Statistical Physics, v. 147, n. 2, p. 375-381, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0469-y. Acesso em: 26 set. 2024.
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      Coletti, C. F., Rodríguez, P. M., & Schinazi, R. B. (2012). A spatial stochastic model for rumor transmission. Journal of Statistical Physics, 147( 2), 375-381. doi:10.1007/s10955-012-0469-y
    • NLM

      Coletti CF, Rodríguez PM, Schinazi RB. A spatial stochastic model for rumor transmission [Internet]. Journal of Statistical Physics. 2012 ; 147( 2): 375-381.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-012-0469-y
    • Vancouver

      Coletti CF, Rodríguez PM, Schinazi RB. A spatial stochastic model for rumor transmission [Internet]. Journal of Statistical Physics. 2012 ; 147( 2): 375-381.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-012-0469-y
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROBABILIDADE

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      LEBENSZTAYN, Élcio e MACHADO, Fábio Prates e POPOV, Serguei Yu. An improved upper bound for the critical probability of the frog model on homogeneous trees. Journal of Statistical Physics, v. 119, n. 1-2, p. 331-345, 2005Tradução . . Disponível em: https://doi.org/10.1007/s10955-004-2051-8. Acesso em: 26 set. 2024.
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      Lebensztayn, É., Machado, F. P., & Popov, S. Y. (2005). An improved upper bound for the critical probability of the frog model on homogeneous trees. Journal of Statistical Physics, 119( 1-2), 331-345. doi:10.1007/s10955-004-2051-8
    • NLM

      Lebensztayn É, Machado FP, Popov SY. An improved upper bound for the critical probability of the frog model on homogeneous trees [Internet]. Journal of Statistical Physics. 2005 ; 119( 1-2): 331-345.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-004-2051-8
    • Vancouver

      Lebensztayn É, Machado FP, Popov SY. An improved upper bound for the critical probability of the frog model on homogeneous trees [Internet]. Journal of Statistical Physics. 2005 ; 119( 1-2): 331-345.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s10955-004-2051-8
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROBABILIDADE

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      FERRARI, Pablo Augusto e MARTINEZ, S e SAN MARTIN, J. Phase transition for absorved brownian motion with drift. Journal of Statistical Physics, v. 86, n. ja 1997, p. 213-231, 1997Tradução . . Disponível em: https://doi.org/10.1007/bf02180205. Acesso em: 26 set. 2024.
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      Ferrari, P. A., Martinez, S., & San Martin, J. (1997). Phase transition for absorved brownian motion with drift. Journal of Statistical Physics, 86( ja 1997), 213-231. doi:10.1007/bf02180205
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      Ferrari PA, Martinez S, San Martin J. Phase transition for absorved brownian motion with drift [Internet]. Journal of Statistical Physics. 1997 ; 86( ja 1997): 213-231.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/bf02180205
    • Vancouver

      Ferrari PA, Martinez S, San Martin J. Phase transition for absorved brownian motion with drift [Internet]. Journal of Statistical Physics. 1997 ; 86( ja 1997): 213-231.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/bf02180205
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS DE MARKOV, MECÂNICA ESTATÍSTICA, PASSEIOS ALEATÓRIOS

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      DE MASI, A et al. Invariance principle for reversible Markov processes: applications to randon motions in random environments. Journal of Statistical Physics, v. 55, n. 3-4, p. 787-856, 1989Tradução . . Disponível em: https://doi.org/10.1007/BF01041608. Acesso em: 26 set. 2024.
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      De Masi, A., Ferrari, P. A., Goldstein, S., & Wick, W. D. (1989). Invariance principle for reversible Markov processes: applications to randon motions in random environments. Journal of Statistical Physics, 55( 3-4), 787-856. doi:10.1007/BF01041608
    • NLM

      De Masi A, Ferrari PA, Goldstein S, Wick WD. Invariance principle for reversible Markov processes: applications to randon motions in random environments [Internet]. Journal of Statistical Physics. 1989 ;55( 3-4): 787-856.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/BF01041608
    • Vancouver

      De Masi A, Ferrari PA, Goldstein S, Wick WD. Invariance principle for reversible Markov processes: applications to randon motions in random environments [Internet]. Journal of Statistical Physics. 1989 ;55( 3-4): 787-856.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/BF01041608
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROBABILIDADE, MECÂNICA ESTATÍSTICA

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      DURRETT, Richard e SCHONMANN, Roberto Henrique e TANAKA, Nelson Ithiro. Correlation lengths for oriented percolation. Journal of Statistical Physics, v. 55, p. 965-79, 1989Tradução . . Disponível em: https://doi.org/10.1007/bf01041074. Acesso em: 26 set. 2024.
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      Durrett, R., Schonmann, R. H., & Tanaka, N. I. (1989). Correlation lengths for oriented percolation. Journal of Statistical Physics, 55, 965-79. doi:10.1007/bf01041074
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      Durrett R, Schonmann RH, Tanaka NI. Correlation lengths for oriented percolation [Internet]. Journal of Statistical Physics. 1989 ;55 965-79.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/bf01041074
    • Vancouver

      Durrett R, Schonmann RH, Tanaka NI. Correlation lengths for oriented percolation [Internet]. Journal of Statistical Physics. 1989 ;55 965-79.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/bf01041074

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