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  • Source: Markov Processes And Related Fields. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      PECHERSKY, Eugene e PRESMAN, Ernst L'vovich e IAMBARTSEV, Anatoli. Sojourn times of Markov symmetric processes in continuous time. Markov Processes And Related Fields, v. 29, n. 2, p. 199-224, 2023Tradução . . Disponível em: https://math-mprf.org/journal/articles/id1666/. Acesso em: 28 set. 2024.
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      Pechersky, E., Presman, E. L. 'vovich, & Iambartsev, A. (2023). Sojourn times of Markov symmetric processes in continuous time. Markov Processes And Related Fields, 29( 2), 199-224. Recuperado de https://math-mprf.org/journal/articles/id1666/
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      Pechersky E, Presman EL'vovich, Iambartsev A. Sojourn times of Markov symmetric processes in continuous time [Internet]. Markov Processes And Related Fields. 2023 ; 29( 2): 199-224.[citado 2024 set. 28 ] Available from: https://math-mprf.org/journal/articles/id1666/
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      Pechersky E, Presman EL'vovich, Iambartsev A. Sojourn times of Markov symmetric processes in continuous time [Internet]. Markov Processes And Related Fields. 2023 ; 29( 2): 199-224.[citado 2024 set. 28 ] Available from: https://math-mprf.org/journal/articles/id1666/
  • Source: Markov Processes And Related Fields. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      LOGACHOV, A. V. et al. Excursions of Markov processes: a large deviation approach. Markov Processes And Related Fields, v. 29, n. 2, p. 189-197, 2023Tradução . . Disponível em: https://math-mprf.org/journal/articles/id1665/. Acesso em: 28 set. 2024.
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      Logachov, A. V., Mogulsky, A. A., Suhov, Y. M., & Iambartsev, A. (2023). Excursions of Markov processes: a large deviation approach. Markov Processes And Related Fields, 29( 2), 189-197. Recuperado de https://math-mprf.org/journal/articles/id1665/
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      Logachov AV, Mogulsky AA, Suhov YM, Iambartsev A. Excursions of Markov processes: a large deviation approach [Internet]. Markov Processes And Related Fields. 2023 ; 29( 2): 189-197.[citado 2024 set. 28 ] Available from: https://math-mprf.org/journal/articles/id1665/
    • Vancouver

      Logachov AV, Mogulsky AA, Suhov YM, Iambartsev A. Excursions of Markov processes: a large deviation approach [Internet]. Markov Processes And Related Fields. 2023 ; 29( 2): 189-197.[citado 2024 set. 28 ] Available from: https://math-mprf.org/journal/articles/id1665/
  • Source: Journal of Applied Probability. Unidade: IME

    Subjects: GRANDES DESVIOS, PROCESSOS DE MARKOV

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      LOGACHOV, Artem et al. A large-deviation principle for birth–death processes with a linear rate of downward jumps. Journal of Applied Probability, 2023Tradução . . Disponível em: https://doi.org/10.1017/jpr.2023.75. Acesso em: 28 set. 2024.
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      Logachov, A., Suhov, Y., Vvedenskaya, N., & Iambartsev, A. (2023). A large-deviation principle for birth–death processes with a linear rate of downward jumps. Journal of Applied Probability. doi:10.1017/jpr.2023.75
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      Logachov A, Suhov Y, Vvedenskaya N, Iambartsev A. A large-deviation principle for birth–death processes with a linear rate of downward jumps [Internet]. Journal of Applied Probability. 2023 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.1017/jpr.2023.75
    • Vancouver

      Logachov A, Suhov Y, Vvedenskaya N, Iambartsev A. A large-deviation principle for birth–death processes with a linear rate of downward jumps [Internet]. Journal of Applied Probability. 2023 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.1017/jpr.2023.75
  • Source: Mathematics. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, PROCESSOS DE MARKOV

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      ROJAS, Helder e LOGACHOV, Artem e IAMBARTSEV, Anatoli. Order book dynamics with liquidity fluctuations: asymptotic analysis of highly competitive regime. Mathematics, v. 11, n. artigo 4235, p. 1-24, 2023Tradução . . Disponível em: https://doi.org/10.3390/math11204235. Acesso em: 28 set. 2024.
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      Rojas, H., Logachov, A., & Iambartsev, A. (2023). Order book dynamics with liquidity fluctuations: asymptotic analysis of highly competitive regime. Mathematics, 11( artigo 4235), 1-24. doi:10.3390/math11204235
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      Rojas H, Logachov A, Iambartsev A. Order book dynamics with liquidity fluctuations: asymptotic analysis of highly competitive regime [Internet]. Mathematics. 2023 ; 11( artigo 4235): 1-24.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/math11204235
    • Vancouver

      Rojas H, Logachov A, Iambartsev A. Order book dynamics with liquidity fluctuations: asymptotic analysis of highly competitive regime [Internet]. Mathematics. 2023 ; 11( artigo 4235): 1-24.[citado 2024 set. 28 ] Available from: https://doi.org/10.3390/math11204235
  • Source: Reports on Mathematical Physics. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, GRANDES DESVIOS, BURACOS NEGROS

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      PECHERSKY, Eugene e PIROGOV, Sergei e YAMBARTSEV, Anatoli. Hawking-Penrose black hole model. Large lmission regime. Reports on Mathematical Physics, v. 87, n. 1, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/S0034-4877(21)00007-0. Acesso em: 28 set. 2024.
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      Pechersky, E., Pirogov, S., & Yambartsev, A. (2021). Hawking-Penrose black hole model. Large lmission regime. Reports on Mathematical Physics, 87( 1), 1-14. doi:10.1016/S0034-4877(21)00007-0
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      Pechersky E, Pirogov S, Yambartsev A. Hawking-Penrose black hole model. Large lmission regime [Internet]. Reports on Mathematical Physics. 2021 ; 87( 1): 1-14.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/S0034-4877(21)00007-0
    • Vancouver

      Pechersky E, Pirogov S, Yambartsev A. Hawking-Penrose black hole model. Large lmission regime [Internet]. Reports on Mathematical Physics. 2021 ; 87( 1): 1-14.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/S0034-4877(21)00007-0
  • Source: Stochastics and Dynamics. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, MEDIDA DE WIENER

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      LOGACHOV, A. e LOGACHOVA, Olga e IAMBARTSEV, Anatoli. Local large deviation principle for Wiener process with random resetting. Stochastics and Dynamics, v. 20, n. 5, 2020Tradução . . Disponível em: https://doi.org/10.1142/s021949372050032x. Acesso em: 28 set. 2024.
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      Logachov, A., Logachova, O., & Iambartsev, A. (2020). Local large deviation principle for Wiener process with random resetting. Stochastics and Dynamics, 20( 5). doi:10.1142/s021949372050032x
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      Logachov A, Logachova O, Iambartsev A. Local large deviation principle for Wiener process with random resetting [Internet]. Stochastics and Dynamics. 2020 ; 20( 5):[citado 2024 set. 28 ] Available from: https://doi.org/10.1142/s021949372050032x
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      Logachov A, Logachova O, Iambartsev A. Local large deviation principle for Wiener process with random resetting [Internet]. Stochastics and Dynamics. 2020 ; 20( 5):[citado 2024 set. 28 ] Available from: https://doi.org/10.1142/s021949372050032x
  • Source: Markov Processes And Related Fields. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      LOGACHOV, A. V et al. Local limits for string of frozen characters. Markov Processes And Related Fields, v. 26, n. 5, p. 885-900, 2020Tradução . . Disponível em: http://math-mprf.org/journal/articles/id1599/. Acesso em: 28 set. 2024.
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      Logachov, A. V., Mogulsky, A. A., Prokopenko, E. I., & Iambartsev, A. (2020). Local limits for string of frozen characters. Markov Processes And Related Fields, 26( 5), 885-900. Recuperado de http://math-mprf.org/journal/articles/id1599/
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      Logachov AV, Mogulsky AA, Prokopenko EI, Iambartsev A. Local limits for string of frozen characters [Internet]. Markov Processes And Related Fields. 2020 ; 26( 5): 885-900.[citado 2024 set. 28 ] Available from: http://math-mprf.org/journal/articles/id1599/
    • Vancouver

      Logachov AV, Mogulsky AA, Prokopenko EI, Iambartsev A. Local limits for string of frozen characters [Internet]. Markov Processes And Related Fields. 2020 ; 26( 5): 885-900.[citado 2024 set. 28 ] Available from: http://math-mprf.org/journal/articles/id1599/
  • Source: The Annals of Applied Probability. Unidade: IME

    Subjects: PASSEIOS ALEATÓRIOS, MECÂNICA ESTATÍSTICA, PERCOLAÇÃO, PROCESSOS DE MARKOV, EPIDEMIOLOGIA

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      BENJAMINI, Itai et al. On an epidemic model on finite graphs. The Annals of Applied Probability, v. 30, n. 1, p. 208-258, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-AAP1500. Acesso em: 28 set. 2024.
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      Benjamini, I., Fontes, L. R. G., Hermon, J., & Machado, F. P. (2020). On an epidemic model on finite graphs. The Annals of Applied Probability, 30( 1), 208-258. doi:10.1214/19-AAP1500
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      Benjamini I, Fontes LRG, Hermon J, Machado FP. On an epidemic model on finite graphs [Internet]. The Annals of Applied Probability. 2020 ; 30( 1): 208-258.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/19-AAP1500
    • Vancouver

      Benjamini I, Fontes LRG, Hermon J, Machado FP. On an epidemic model on finite graphs [Internet]. The Annals of Applied Probability. 2020 ; 30( 1): 208-258.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/19-AAP1500
  • Source: Proceedings. Conference titles: International Conference Stochastic and Analytic Methods in Mathematical Physics. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, GRANDES DESVIOS, BURACOS NEGROS

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      PECHERSKY, Eugene e PIROGOV, Sergey e YAMBARTSEV, Anatoli. Large emissions: Hawking-Penrose black hole model. 2020, Anais.. Potsdam: Universität Potsdam, 2020. Disponível em: https://doi.org/10.25932/publishup-45919. Acesso em: 28 set. 2024.
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      Pechersky, E., Pirogov, S., & Yambartsev, A. (2020). Large emissions: Hawking-Penrose black hole model. In Proceedings. Potsdam: Universität Potsdam. doi:10.25932/publishup-45919
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      Pechersky E, Pirogov S, Yambartsev A. Large emissions: Hawking-Penrose black hole model [Internet]. Proceedings. 2020 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.25932/publishup-45919
    • Vancouver

      Pechersky E, Pirogov S, Yambartsev A. Large emissions: Hawking-Penrose black hole model [Internet]. Proceedings. 2020 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.25932/publishup-45919
  • Source: Physical Review E. Unidade: IME

    Subjects: TEORIA DA PROBABILIDADE, PROCESSOS DE MARKOV

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      BELITSKY, Vladimir e SCHUTZ, G. M. Stationary RNA polymerase fluctuations during transcription elongation. Physical Review E, v. 99, n. 1, p. 1-10, 2019Tradução . . Disponível em: https://doi.org/10.1103/physreve.99.012405. Acesso em: 28 set. 2024.
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      Belitsky, V., & Schutz, G. M. (2019). Stationary RNA polymerase fluctuations during transcription elongation. Physical Review E, 99( 1), 1-10. doi:10.1103/physreve.99.012405
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      Belitsky V, Schutz GM. Stationary RNA polymerase fluctuations during transcription elongation [Internet]. Physical Review E. 2019 ; 99( 1): 1-10.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/physreve.99.012405
    • Vancouver

      Belitsky V, Schutz GM. Stationary RNA polymerase fluctuations during transcription elongation [Internet]. Physical Review E. 2019 ; 99( 1): 1-10.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/physreve.99.012405
  • Source: Theoretical and Mathematical Physics. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, GRANDES DESVIOS, MECÂNICA QUÂNTICA

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      PECHERSKY, Eugene A et al. Large fluctuations in two-level systems with stimulated emission. Theoretical and Mathematical Physics, v. 198, n. 1, p. 118-128, 2019Tradução . . Disponível em: https://doi.org/10.1134/s0040577919010082. Acesso em: 28 set. 2024.
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      Pechersky, E. A., Pirogov, S., Schutz, G. M., Vladimirov, A., & Iambartsev, A. (2019). Large fluctuations in two-level systems with stimulated emission. Theoretical and Mathematical Physics, 198( 1), 118-128. doi:10.1134/s0040577919010082
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      Pechersky EA, Pirogov S, Schutz GM, Vladimirov A, Iambartsev A. Large fluctuations in two-level systems with stimulated emission [Internet]. Theoretical and Mathematical Physics. 2019 ; 198( 1): 118-128.[citado 2024 set. 28 ] Available from: https://doi.org/10.1134/s0040577919010082
    • Vancouver

      Pechersky EA, Pirogov S, Schutz GM, Vladimirov A, Iambartsev A. Large fluctuations in two-level systems with stimulated emission [Internet]. Theoretical and Mathematical Physics. 2019 ; 198( 1): 118-128.[citado 2024 set. 28 ] Available from: https://doi.org/10.1134/s0040577919010082
  • Source: Statistics and Probability Letters. Unidade: IME

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

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      PECHERSKY, Eugene e VIA, Guillem e YAMBARTSEV, Anatoli. Stochastic ising model with plastic interactions. Statistics and Probability Letters, v. 123, p. 100-106, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.11.028. Acesso em: 28 set. 2024.
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      Pechersky, E., Via, G., & Yambartsev, A. (2017). Stochastic ising model with plastic interactions. Statistics and Probability Letters, 123, 100-106. doi:10.1016/j.spl.2016.11.028
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      Pechersky E, Via G, Yambartsev A. Stochastic ising model with plastic interactions [Internet]. Statistics and Probability Letters. 2017 ; 123 100-106.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.spl.2016.11.028
    • Vancouver

      Pechersky E, Via G, Yambartsev A. Stochastic ising model with plastic interactions [Internet]. Statistics and Probability Letters. 2017 ; 123 100-106.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.spl.2016.11.028
  • Source: Journal of Physics A: Mathematical and Theoretical. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, PROCESSOS ESTACIONÁRIOS, PROCESSOS ESTOCÁSTICOS

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      PECHERSKY, Eugene A et al. Large fluctuations of radiation in stochastically activated two-level systems. Journal of Physics A: Mathematical and Theoretical, v. 50, n. 45, p. 1-20, 2017Tradução . . Disponível em: https://doi.org/10.1088/1751-8121/aa8dba. Acesso em: 28 set. 2024.
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      Pechersky, E. A., Pirogov, S., Schutz, G. M., Vladimirov, A., & Iambartsev, A. (2017). Large fluctuations of radiation in stochastically activated two-level systems. Journal of Physics A: Mathematical and Theoretical, 50( 45), 1-20. doi:10.1088/1751-8121/aa8dba
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      Pechersky EA, Pirogov S, Schutz GM, Vladimirov A, Iambartsev A. Large fluctuations of radiation in stochastically activated two-level systems [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; 50( 45): 1-20.[citado 2024 set. 28 ] Available from: https://doi.org/10.1088/1751-8121/aa8dba
    • Vancouver

      Pechersky EA, Pirogov S, Schutz GM, Vladimirov A, Iambartsev A. Large fluctuations of radiation in stochastically activated two-level systems [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; 50( 45): 1-20.[citado 2024 set. 28 ] Available from: https://doi.org/10.1088/1751-8121/aa8dba
  • Source: Stochastic Analysis and Applications. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, TEOREMAS LIMITES, ANÁLISE ESTOCÁSTICA, PROCESSOS DE MARKOV, PERCOLAÇÃO

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      BUDHIRAJA, Amarjit e KIRA, Elisabeti e SAHA, Subhamay. Central limit results for jump diffusions with mean field interaction and a common factor. Stochastic Analysis and Applications, v. 35, n. 5, p. 767-802, 2017Tradução . . Disponível em: https://doi.org/10.1080/07362994.2017.1321489. Acesso em: 28 set. 2024.
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      Budhiraja, A., Kira, E., & Saha, S. (2017). Central limit results for jump diffusions with mean field interaction and a common factor. Stochastic Analysis and Applications, 35( 5), 767-802. doi:10.1080/07362994.2017.1321489
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      Budhiraja A, Kira E, Saha S. Central limit results for jump diffusions with mean field interaction and a common factor [Internet]. Stochastic Analysis and Applications. 2017 ; 35( 5): 767-802.[citado 2024 set. 28 ] Available from: https://doi.org/10.1080/07362994.2017.1321489
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      Budhiraja A, Kira E, Saha S. Central limit results for jump diffusions with mean field interaction and a common factor [Internet]. Stochastic Analysis and Applications. 2017 ; 35( 5): 767-802.[citado 2024 set. 28 ] Available from: https://doi.org/10.1080/07362994.2017.1321489
  • Source: Journal de la Société Française de Statistique. Unidade: IME

    Subjects: PROCESSOS ALEATÓRIOS, MECÂNICA ESTATÍSTICA, PROCESSOS DE MARKOV

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      GALVES, Antonio e LÖCHERBACH, Eva. Modeling networks of spiking neurons as interacting processes with memory of variable length. Journal de la Société Française de Statistique, v. 157, n. 1, p. 17-32, 2016Tradução . . Disponível em: http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/517. Acesso em: 28 set. 2024.
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      Galves, A., & Löcherbach, E. (2016). Modeling networks of spiking neurons as interacting processes with memory of variable length. Journal de la Société Française de Statistique, 157( 1), 17-32. Recuperado de http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/517
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      Galves A, Löcherbach E. Modeling networks of spiking neurons as interacting processes with memory of variable length [Internet]. Journal de la Société Française de Statistique. 2016 ; 157( 1): 17-32.[citado 2024 set. 28 ] Available from: http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/517
    • Vancouver

      Galves A, Löcherbach E. Modeling networks of spiking neurons as interacting processes with memory of variable length [Internet]. Journal de la Société Française de Statistique. 2016 ; 157( 1): 17-32.[citado 2024 set. 28 ] Available from: http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/517
  • Source: Electronic Communications in Probability. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, PASSEIOS ALEATÓRIOS, FUNÇÕES HIPERGEOMÉTRICAS

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      GREJO, Carolina e MACHADO, Fábio Prates e ROLDÁN CORREA, Alejandro. The fitness of the strongest individual in the subcritical GMS model. Electronic Communications in Probability, v. 21, n. article º 12, p. 5 , 2016Tradução . . Disponível em: https://doi.org/10.1214/16-ECP4570. Acesso em: 28 set. 2024.
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      Grejo, C., Machado, F. P., & Roldán Correa, A. (2016). The fitness of the strongest individual in the subcritical GMS model. Electronic Communications in Probability, 21( article º 12), 5 . doi:10.1214/16-ECP4570
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      Grejo C, Machado FP, Roldán Correa A. The fitness of the strongest individual in the subcritical GMS model [Internet]. Electronic Communications in Probability. 2016 ; 21( article º 12): 5 .[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/16-ECP4570
    • Vancouver

      Grejo C, Machado FP, Roldán Correa A. The fitness of the strongest individual in the subcritical GMS model [Internet]. Electronic Communications in Probability. 2016 ; 21( article º 12): 5 .[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/16-ECP4570
  • Source: Journal of Applied Probability. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, PASSEIOS ALEATÓRIOS, PROCESSOS ESTACIONÁRIOS

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      GANNON, Mark A et al. Random walks in a queueing network environment. Journal of Applied Probability, v. 53, n. 2, p. 448-462, 2016Tradução . . Disponível em: https://doi.org/10.1017/jpr.2016.12. Acesso em: 28 set. 2024.
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      Gannon, M. A., Pechersky, E. A., Suhov, Y. M., & Iambartsev, A. (2016). Random walks in a queueing network environment. Journal of Applied Probability, 53( 2), 448-462. doi:10.1017/jpr.2016.12
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      Gannon MA, Pechersky EA, Suhov YM, Iambartsev A. Random walks in a queueing network environment [Internet]. Journal of Applied Probability. 2016 ; 53( 2): 448-462.[citado 2024 set. 28 ] Available from: https://doi.org/10.1017/jpr.2016.12
    • Vancouver

      Gannon MA, Pechersky EA, Suhov YM, Iambartsev A. Random walks in a queueing network environment [Internet]. Journal of Applied Probability. 2016 ; 53( 2): 448-462.[citado 2024 set. 28 ] Available from: https://doi.org/10.1017/jpr.2016.12
  • Source: Information Processes. Unidades: IGC, IME

    Subjects: PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS, TECTÔNICA DE PLACAS

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      PECHERSKY, Eugene A et al. Dynamics of tectonic plates. Information Processes, v. 15, n. 1, p. 51-65, 2015Tradução . . Disponível em: http://www.jip.ru/2015/51-65-2015.pdf. Acesso em: 28 set. 2024.
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      Pechersky, E. A., Pirogov, S., Sadowski, G. R., & Yambartsev, A. (2015). Dynamics of tectonic plates. Information Processes, 15( 1), 51-65. Recuperado de http://www.jip.ru/2015/51-65-2015.pdf
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      Pechersky EA, Pirogov S, Sadowski GR, Yambartsev A. Dynamics of tectonic plates [Internet]. Information Processes. 2015 ; 15( 1): 51-65.[citado 2024 set. 28 ] Available from: http://www.jip.ru/2015/51-65-2015.pdf
    • Vancouver

      Pechersky EA, Pirogov S, Sadowski GR, Yambartsev A. Dynamics of tectonic plates [Internet]. Information Processes. 2015 ; 15( 1): 51-65.[citado 2024 set. 28 ] Available from: http://www.jip.ru/2015/51-65-2015.pdf
  • 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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1007/s10955-014-1145-1
  • Source: The Annals of Applied Probability. Unidade: IME

    Subjects: CADEIAS DE MARKOV, PROCESSOS DE MARKOV, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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    • ABNT

      COLLET, Pierre e LEONARDI, Florencia Graciela. Loss of memory of hidden Markov models and Lyapunov exponents. The Annals of Applied Probability, v. 24, n. 1, p. 422-446, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-AAP929. Acesso em: 28 set. 2024.
    • APA

      Collet, P., & Leonardi, F. G. (2014). Loss of memory of hidden Markov models and Lyapunov exponents. The Annals of Applied Probability, 24( 1), 422-446. doi:10.1214/13-AAP929
    • NLM

      Collet P, Leonardi FG. Loss of memory of hidden Markov models and Lyapunov exponents [Internet]. The Annals of Applied Probability. 2014 ; 24( 1): 422-446.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/13-AAP929
    • Vancouver

      Collet P, Leonardi FG. Loss of memory of hidden Markov models and Lyapunov exponents [Internet]. The Annals of Applied Probability. 2014 ; 24( 1): 422-446.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/13-AAP929

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