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  • Source: Mathematics. Unidades: FEA, EP

    Subjects: FINANÇAS DAS EMPRESAS, TOMADA DE DECISÃO (ADMINISTRAÇÃO EXECUTIVA), PROCESSOS ESTOCÁSTICOS, APRENDIZADO COMPUTACIONAL

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      HAIR JR., Joseph F et al. Deterministic and stochastic machine learning classification models: a comparative study applied to companies’ capital structures. Mathematics, v. 13, n. 3. art. 411, 2025Tradução . . Disponível em: https://www.mdpi.com/2227-7390/13/3/411/pdf?version=1737884254. Acesso em: 12 nov. 2025.
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      Hair Jr., J. F., Fávero, L. P. L., Tarantin Junior, W., & Duarte, A. (2025). Deterministic and stochastic machine learning classification models: a comparative study applied to companies’ capital structures. Mathematics, 13( 3. art. 411). doi:10.3390/math13030411
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      Hair Jr. JF, Fávero LPL, Tarantin Junior W, Duarte A. Deterministic and stochastic machine learning classification models: a comparative study applied to companies’ capital structures [Internet]. Mathematics. 2025 ; 13( 3. art. 411):[citado 2025 nov. 12 ] Available from: https://www.mdpi.com/2227-7390/13/3/411/pdf?version=1737884254
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      Hair Jr. JF, Fávero LPL, Tarantin Junior W, Duarte A. Deterministic and stochastic machine learning classification models: a comparative study applied to companies’ capital structures [Internet]. Mathematics. 2025 ; 13( 3. art. 411):[citado 2025 nov. 12 ] Available from: https://www.mdpi.com/2227-7390/13/3/411/pdf?version=1737884254
  • Source: Physics of Plasmas. Unidades: IF, EP

    Subjects: FÍSICA DE PLASMAS, PROCESSOS ESTOCÁSTICOS, TURBULÊNCIA ELETROSTÁTICA, PROBABILIDADE, PLASMA

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      PEREIRA, Felipe Augusto Cardoso et al. Coexistence of turbulence regimes in the Texas Helimak. Physics of Plasmas, v. 28, n. 3, 2021Tradução . . Disponível em: https://doi.org/10.1063/5.0033381. Acesso em: 12 nov. 2025.
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      Pereira, F. A. C., Toufen, D., Guimarães Filho, Z. de O., Caldas, I. L., Viana, R., & Gentle, K. W. (2021). Coexistence of turbulence regimes in the Texas Helimak. Physics of Plasmas, 28( 3). doi:10.1063/5.0033381
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      Pereira FAC, Toufen D, Guimarães Filho Z de O, Caldas IL, Viana R, Gentle KW. Coexistence of turbulence regimes in the Texas Helimak [Internet]. Physics of Plasmas. 2021 ; 28( 3):[citado 2025 nov. 12 ] Available from: https://doi.org/10.1063/5.0033381
    • Vancouver

      Pereira FAC, Toufen D, Guimarães Filho Z de O, Caldas IL, Viana R, Gentle KW. Coexistence of turbulence regimes in the Texas Helimak [Internet]. Physics of Plasmas. 2021 ; 28( 3):[citado 2025 nov. 12 ] Available from: https://doi.org/10.1063/5.0033381
  • Source: Latin American Journal of Probability and Mathematical Statistics. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS, MECÂNICA ESTATÍSTICA, GRAFOS ALEATÓRIOS

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      KOVCHEGOV, Yevgeniy e OTTO, Peter T. e YAMBARTSEV, Anatoli. Cross-multiplicative coalescent processes and applications. Latin American Journal of Probability and Mathematical Statistics, v. 18, p. 81-106, 2021Tradução . . Disponível em: https://doi.org/10.30757/ALEA.V18-05. Acesso em: 12 nov. 2025.
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      Kovchegov, Y., Otto, P. T., & Yambartsev, A. (2021). Cross-multiplicative coalescent processes and applications. Latin American Journal of Probability and Mathematical Statistics, 18, 81-106. doi:10.30757/ALEA.V18-05
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      Kovchegov Y, Otto PT, Yambartsev A. Cross-multiplicative coalescent processes and applications [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2021 ; 18 81-106.[citado 2025 nov. 12 ] Available from: https://doi.org/10.30757/ALEA.V18-05
    • Vancouver

      Kovchegov Y, Otto PT, Yambartsev A. Cross-multiplicative coalescent processes and applications [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2021 ; 18 81-106.[citado 2025 nov. 12 ] Available from: https://doi.org/10.30757/ALEA.V18-05
  • Source: Physical Review X. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, PROCESSOS ESTOCÁSTICOS

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      EROGLU, Deniz et al. Revealing dynamics, communities, and criticality from data. Physical Review X, v. 10, n. 2, p. 021047-1-021047-14, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevX.10.021047. Acesso em: 12 nov. 2025.
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      Eroglu, D., Tanzi, M., Strien, S. van, & Pereira, T. (2020). Revealing dynamics, communities, and criticality from data. Physical Review X, 10( 2), 021047-1-021047-14. doi:10.1103/PhysRevX.10.021047
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      Eroglu D, Tanzi M, Strien S van, Pereira T. Revealing dynamics, communities, and criticality from data [Internet]. Physical Review X. 2020 ; 10( 2): 021047-1-021047-14.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1103/PhysRevX.10.021047
    • Vancouver

      Eroglu D, Tanzi M, Strien S van, Pereira T. Revealing dynamics, communities, and criticality from data [Internet]. Physical Review X. 2020 ; 10( 2): 021047-1-021047-14.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1103/PhysRevX.10.021047
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: FEA

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS ESTOCÁSTICOS, REDES NEURAIS

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      FERNANDES NETO, Fernando et al. Generating stochastic processes through convolutional neural networks. Journal of Control, Automation and Electrical Systems, v. 31, n. 2, p. 294-303, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40313-020-00567-y. Acesso em: 12 nov. 2025.
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      Fernandes Neto, F., Bueno, R. D. L. da S., Cavalcanti, P. D., & Admasu, A. S. (2020). Generating stochastic processes through convolutional neural networks. Journal of Control, Automation and Electrical Systems, 31( 2), 294-303. doi:10.1007/s40313-020-00567-y
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      Fernandes Neto F, Bueno RDL da S, Cavalcanti PD, Admasu AS. Generating stochastic processes through convolutional neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31( 2): 294-303.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s40313-020-00567-y
    • Vancouver

      Fernandes Neto F, Bueno RDL da S, Cavalcanti PD, Admasu AS. Generating stochastic processes through convolutional neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31( 2): 294-303.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s40313-020-00567-y
  • Source: International Journal of Economic Theory. Unidade: FEA

    Subjects: PROCESSOS ESTOCÁSTICOS, ANÁLISE ESTOCÁSTICA, PROBABILIDADE

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      ARAÚJO, Aloísio et al. Refinement of dynamic equilibrium usingsmall random perturbations. International Journal of Economic Theory, 2020Tradução . . Disponível em: https://doi.org/10.1111/ijet.12257. Acesso em: 12 nov. 2025.
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      Araújo, A., Maldonado, W. F. L., Pinheiro, D., Pinto, A. A., & Soltanahmadi, M. C. (2020). Refinement of dynamic equilibrium usingsmall random perturbations. International Journal of Economic Theory. doi:10.1111/ijet.12257
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      Araújo A, Maldonado WFL, Pinheiro D, Pinto AA, Soltanahmadi MC. Refinement of dynamic equilibrium usingsmall random perturbations [Internet]. International Journal of Economic Theory. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1111/ijet.12257
    • Vancouver

      Araújo A, Maldonado WFL, Pinheiro D, Pinto AA, Soltanahmadi MC. Refinement of dynamic equilibrium usingsmall random perturbations [Internet]. International Journal of Economic Theory. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1111/ijet.12257
  • Source: Journal of Agricultural, Biological and Environmental Statistics. Unidade: ESALQ

    Subjects: DELINEAMENTO EXPERIMENTAL, PROCESSOS ESTOCÁSTICOS, SIMULAÇÃO, TRIGO, VARIABILIDADE ESPACIAL

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      HOEFLER, Raegan et al. Do spatial designs outperform classic experimental designs?. Journal of Agricultural, Biological and Environmental Statistics, p. 1-30, 2020Tradução . . Disponível em: https://doi.org/10.1007/s13253-020-00406-2. Acesso em: 12 nov. 2025.
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      Hoefler, R., González-Barrios, P., Bhatta, M., Nunes, J. A. R., Berro, I., Nalin, R. S., et al. (2020). Do spatial designs outperform classic experimental designs? Journal of Agricultural, Biological and Environmental Statistics, 1-30. doi:10.1007/s13253-020-00406-2
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      Hoefler R, González-Barrios P, Bhatta M, Nunes JAR, Berro I, Nalin RS, Borges A, Covarrubias E, Diaz-Garcia L, Quincke M, Gutierrez L. Do spatial designs outperform classic experimental designs? [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2020 ; 1-30.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s13253-020-00406-2
    • Vancouver

      Hoefler R, González-Barrios P, Bhatta M, Nunes JAR, Berro I, Nalin RS, Borges A, Covarrubias E, Diaz-Garcia L, Quincke M, Gutierrez L. Do spatial designs outperform classic experimental designs? [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2020 ; 1-30.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s13253-020-00406-2
  • Source: Physica A: Statistical Mechanics and its Applications. Unidade: IME

    Subjects: PROCESSOS DE NASCIMENTO E MORTE, PROCESSOS ESTOCÁSTICOS

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      FONTES, Luiz Renato e SCHINAZI, Rinaldo B. Implosion of a pure death process. Physica A: Statistical Mechanics and its Applications, v. 523, p. 1171-1174, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2019.04.087. Acesso em: 12 nov. 2025.
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      Fontes, L. R., & Schinazi, R. B. (2019). Implosion of a pure death process. Physica A: Statistical Mechanics and its Applications, 523, 1171-1174. doi:10.1016/j.physa.2019.04.087
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      Fontes LR, Schinazi RB. Implosion of a pure death process [Internet]. Physica A: Statistical Mechanics and its Applications. 2019 ; 523 1171-1174.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.physa.2019.04.087
    • Vancouver

      Fontes LR, Schinazi RB. Implosion of a pure death process [Internet]. Physica A: Statistical Mechanics and its Applications. 2019 ; 523 1171-1174.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.physa.2019.04.087
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS, PROCESSOS ALEATÓRIOS, BIOMATEMÁTICA

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      FERRARI, Pablo Augusto et al. Phase transition for infinite systems of spiking neurons. Journal of Statistical Physics, v. 172, n. 6, p. 1564–1575, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10955-018-2118-6. Acesso em: 12 nov. 2025.
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      Ferrari, P. A., Galves, A., Grigorescu, I., & Löcherbach, E. (2018). Phase transition for infinite systems of spiking neurons. Journal of Statistical Physics, 172( 6), 1564–1575. doi:10.1007/s10955-018-2118-6
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      Ferrari PA, Galves A, Grigorescu I, Löcherbach E. Phase transition for infinite systems of spiking neurons [Internet]. Journal of Statistical Physics. 2018 ; 172( 6): 1564–1575.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10955-018-2118-6
    • Vancouver

      Ferrari PA, Galves A, Grigorescu I, Löcherbach E. Phase transition for infinite systems of spiking neurons [Internet]. Journal of Statistical Physics. 2018 ; 172( 6): 1564–1575.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10955-018-2118-6
  • Source: ALEA - Latin American Journal of Probability and Mathematical Statistics. Unidade: IME

    Subjects: COLONIZAÇÃO, PROCESSOS ESTOCÁSTICOS, PERCOLAÇÃO

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      MACHADO, Fábio Prates e ROLDÁN CORREA, Alejandro e SCHINAZI, Rinaldo B. Colonization and collapse. ALEA - Latin American Journal of Probability and Mathematical Statistics, v. 14, n. 2, p. 719-731, 2017Tradução . . Disponível em: http://alea.impa.br/articles/v14/14-34.pdf. Acesso em: 12 nov. 2025.
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      Machado, F. P., Roldán Correa, A., & Schinazi, R. B. (2017). Colonization and collapse. ALEA - Latin American Journal of Probability and Mathematical Statistics, 14( 2), 719-731. Recuperado de http://alea.impa.br/articles/v14/14-34.pdf
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      Machado FP, Roldán Correa A, Schinazi RB. Colonization and collapse [Internet]. ALEA - Latin American Journal of Probability and Mathematical Statistics. 2017 ; 14( 2): 719-731.[citado 2025 nov. 12 ] Available from: http://alea.impa.br/articles/v14/14-34.pdf
    • Vancouver

      Machado FP, Roldán Correa A, Schinazi RB. Colonization and collapse [Internet]. ALEA - Latin American Journal of Probability and Mathematical Statistics. 2017 ; 14( 2): 719-731.[citado 2025 nov. 12 ] Available from: http://alea.impa.br/articles/v14/14-34.pdf
  • 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: 12 nov. 2025.
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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 2025 nov. 12 ] Available from: https://doi.org/10.1080/07362994.2017.1321489
    • Vancouver

      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 2025 nov. 12 ] Available from: https://doi.org/10.1080/07362994.2017.1321489
  • Source: Entropy. Unidade: FFCLRP

    Subjects: REDES NEURAIS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS

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      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: 12 nov. 2025.
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      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
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      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. 12 ] Available from: https://doi.org/10.3390/e19080399
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      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. 12 ] Available from: https://doi.org/10.3390/e19080399
  • Source: Journal of Engineering Mechanics. Unidade: EESC

    Subjects: PROCESSOS ESTOCÁSTICOS, DINÂMICA ESTOCÁSTICA, SISTEMAS NÃO LINEARES, ESTRUTURAS

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      SANTOS, Ketson Roberto Maximiano dos e KOUGIOUMTZOGLOU, Ioannis A. e BECK, André Teófilo. Incremental dynamic analysis: a nonlinear stochastic dynamics perspective. Journal of Engineering Mechanics, v. 142, n. 10, p. 06016007-1 - 06016007-7, 2016Tradução . . Disponível em: https://doi.org/10.1061/(ASCE)EM.1943-7889.0001129. Acesso em: 12 nov. 2025.
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      Santos, K. R. M. dos, Kougioumtzoglou, I. A., & Beck, A. T. (2016). Incremental dynamic analysis: a nonlinear stochastic dynamics perspective. Journal of Engineering Mechanics, 142( 10), 06016007-1 - 06016007-7. doi:10.1061/(ASCE)EM.1943-7889.0001129
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      Santos KRM dos, Kougioumtzoglou IA, Beck AT. Incremental dynamic analysis: a nonlinear stochastic dynamics perspective [Internet]. Journal of Engineering Mechanics. 2016 ; 142( 10): 06016007-1 - 06016007-7.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1061/(ASCE)EM.1943-7889.0001129
    • Vancouver

      Santos KRM dos, Kougioumtzoglou IA, Beck AT. Incremental dynamic analysis: a nonlinear stochastic dynamics perspective [Internet]. Journal of Engineering Mechanics. 2016 ; 142( 10): 06016007-1 - 06016007-7.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1061/(ASCE)EM.1943-7889.0001129
  • Source: Proceedings. Conference titles: International Conference on Bridge Maintenance, Safety and Management - IABMAS. Unidade: EESC

    Subjects: PROCESSOS ESTOCÁSTICOS, ANÁLISE ESTOCÁSTICA

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      SANTOS, Ketson Roberto Maximiano dos e KOUGIOUMTZOGLOU, Ioannis A e BECK, André Teófilo. A stochastic dynamics approach for efficient incremental dynamic analysis. 2016, Anais.. London, UK: Taylor & Francis Group, 2016. . Acesso em: 12 nov. 2025.
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      Santos, K. R. M. dos, Kougioumtzoglou, I. A., & Beck, A. T. (2016). A stochastic dynamics approach for efficient incremental dynamic analysis. In Proceedings. London, UK: Taylor & Francis Group.
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      Santos KRM dos, Kougioumtzoglou IA, Beck AT. A stochastic dynamics approach for efficient incremental dynamic analysis. Proceedings. 2016 ;[citado 2025 nov. 12 ]
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      Santos KRM dos, Kougioumtzoglou IA, Beck AT. A stochastic dynamics approach for efficient incremental dynamic analysis. Proceedings. 2016 ;[citado 2025 nov. 12 ]
  • Source: Markov Processes and Related Fields. Unidade: IME

    Subjects: PASSEIOS ALEATÓRIOS, TEOREMAS LIMITES, PROCESSOS ESTOCÁSTICOS

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      HART, A e MACHADO, Fábio Prates e MATZINGER, Heinrich. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields, v. 21, n. 4, p. 939-970, 2015Tradução . . Acesso em: 12 nov. 2025.
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      Hart, A., Machado, F. P., & Matzinger, H. (2015). Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields, 21( 4), 939-970.
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      Hart A, Machado FP, Matzinger H. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields. 2015 ; 21( 4): 939-970.[citado 2025 nov. 12 ]
    • Vancouver

      Hart A, Machado FP, Matzinger H. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields. 2015 ; 21( 4): 939-970.[citado 2025 nov. 12 ]
  • Source: Bioinformatics and Biology Insights. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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      DONG, Xiaoxi et al. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, v. 9, p. 61-74, 2015Tradução . . Disponível em: https://doi.org/10.4137/BBI.S12467. Acesso em: 12 nov. 2025.
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      Dong, X., Iambartsev, A., Ramsey, S. A., Thomas, L. D., Shulzhenko, N., & Morgun, A. (2015). Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, 9, 61-74. doi:10.4137/BBI.S12467
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      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2025 nov. 12 ] Available from: https://doi.org/10.4137/BBI.S12467
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      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2025 nov. 12 ] Available from: https://doi.org/10.4137/BBI.S12467
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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      FONTES, Luiz Renato e SCHONMANN, Roberto Henrique. Bootstrap percolation on homogeneous trees has 2 phase transitions. Journal of Statistical Physics, v. 132, n. 5, p. 839-861, 2008Tradução . . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-008-9583-2. Acesso em: 12 nov. 2025.
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      Fontes, L. R., & Schonmann, R. H. (2008). Bootstrap percolation on homogeneous trees has 2 phase transitions. Journal of Statistical Physics, 132( 5), 839-861. doi:10.1007%2Fs10955-008-9583-2
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      Fontes LR, Schonmann RH. Bootstrap percolation on homogeneous trees has 2 phase transitions [Internet]. Journal of Statistical Physics. 2008 ; 132( 5): 839-861.[citado 2025 nov. 12 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-008-9583-2
    • Vancouver

      Fontes LR, Schonmann RH. Bootstrap percolation on homogeneous trees has 2 phase transitions [Internet]. Journal of Statistical Physics. 2008 ; 132( 5): 839-861.[citado 2025 nov. 12 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-008-9583-2
  • Source: Journal of Physics A: Mathematical and Theoretical. Unidade: IME

    Subjects: AUTÔMATOS CELULARES, PESQUISA OPERACIONAL, PROCESSOS ESTOCÁSTICOS

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      BELITSKY, Vladimir e MARIĆ, Nevena e SCHÜTZ, Gunter M. Phase transitions in a cellular automaton model of a highway on-ramp. Journal of Physics A: Mathematical and Theoretical, v. 40, n. 37, p. 11221-11243, 2007Tradução . . Disponível em: https://doi.org/10.1088/1751-8113/40/37/002. Acesso em: 12 nov. 2025.
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      Belitsky, V., Marić, N., & Schütz, G. M. (2007). Phase transitions in a cellular automaton model of a highway on-ramp. Journal of Physics A: Mathematical and Theoretical, 40( 37), 11221-11243. doi:10.1088/1751-8113/40/37/002
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      Belitsky V, Marić N, Schütz GM. Phase transitions in a cellular automaton model of a highway on-ramp [Internet]. Journal of Physics A: Mathematical and Theoretical. 2007 ; 40( 37): 11221-11243.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1088/1751-8113/40/37/002
    • Vancouver

      Belitsky V, Marić N, Schütz GM. Phase transitions in a cellular automaton model of a highway on-ramp [Internet]. Journal of Physics A: Mathematical and Theoretical. 2007 ; 40( 37): 11221-11243.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1088/1751-8113/40/37/002
  • Source: Stochastics and Dynamics. Unidade: IME

    Subjects: TEORIA DA PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      FONTES, Luiz Renato e NEWMAN, Charles M. The full Brownian web as scaling limit of stochastic flows. Stochastics and Dynamics, v. 06, n. 02, p. 213-228, 2006Tradução . . Disponível em: https://doi.org/10.1142/s0219493706001724. Acesso em: 12 nov. 2025.
    • APA

      Fontes, L. R., & Newman, C. M. (2006). The full Brownian web as scaling limit of stochastic flows. Stochastics and Dynamics, 06( 02), 213-228. doi:10.1142/s0219493706001724
    • NLM

      Fontes LR, Newman CM. The full Brownian web as scaling limit of stochastic flows [Internet]. Stochastics and Dynamics. 2006 ; 06( 02): 213-228.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1142/s0219493706001724
    • Vancouver

      Fontes LR, Newman CM. The full Brownian web as scaling limit of stochastic flows [Internet]. Stochastics and Dynamics. 2006 ; 06( 02): 213-228.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1142/s0219493706001724
  • Source: Annals of Probability. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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

      FONTES, Luiz Renato et al. The Brownian web: characterization and converge. Annals of Probability, v. 32, n. 4, p. 2875-2883, 2004Tradução . . Disponível em: https://doi.org/10.1214/009117904000000568. Acesso em: 12 nov. 2025.
    • APA

      Fontes, L. R., Isopi, M., Newman, C. M., & Ravishankar, K. (2004). The Brownian web: characterization and converge. Annals of Probability, 32( 4), 2875-2883. doi:10.1214/009117904000000568
    • NLM

      Fontes LR, Isopi M, Newman CM, Ravishankar K. The Brownian web: characterization and converge [Internet]. Annals of Probability. 2004 ; 32( 4): 2875-2883.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/009117904000000568
    • Vancouver

      Fontes LR, Isopi M, Newman CM, Ravishankar K. The Brownian web: characterization and converge [Internet]. Annals of Probability. 2004 ; 32( 4): 2875-2883.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/009117904000000568

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