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DE SANTIS, E. et al. Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons. Stochastic Processes and their Applications, v. 149, p. 224-247, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2022.03.016. Acesso em: 21 out. 2024.
APA
De Santis, E., Galves, A., Nappo, G., & Piccioni, M. (2022). Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons. Stochastic Processes and their Applications, 149, 224-247. doi:10.1016/j.spa.2022.03.016
NLM
De Santis E, Galves A, Nappo G, Piccioni M. Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons [Internet]. Stochastic Processes and their Applications. 2022 ; 149 224-247.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.spa.2022.03.016
Vancouver
De Santis E, Galves A, Nappo G, Piccioni M. Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons [Internet]. Stochastic Processes and their Applications. 2022 ; 149 224-247.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.spa.2022.03.016
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GALVES, Antonio e LEONARDI, Florencia Graciela e OST, Guilherme. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology. . Rio de Janeiro: Impa. Disponível em: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf. Acesso em: 21 out. 2024. , 2022
APA
Galves, A., Leonardi, F. G., & Ost, G. (2022). Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology. Rio de Janeiro: Impa. Recuperado de https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
NLM
Galves A, Leonardi FG, Ost G. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology [Internet]. 2022 ;[citado 2024 out. 21 ] Available from: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
Vancouver
Galves A, Leonardi FG, Ost G. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology [Internet]. 2022 ;[citado 2024 out. 21 ] Available from: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
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GALVES, Antonio et al. A system of interacting neurons with short term synaptic facilitation. Journal of Statistical Physics, v. 178, n. 4, p. 869-892, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10955-019-02467-1. Acesso em: 21 out. 2024.
APA
Galves, A., Löcherbach, E., Pouzat, C., & Presutti, E. (2020). A system of interacting neurons with short term synaptic facilitation. Journal of Statistical Physics, 178( 4), 869-892. doi:10.1007/s10955-019-02467-1
NLM
Galves A, Löcherbach E, Pouzat C, Presutti E. A system of interacting neurons with short term synaptic facilitation [Internet]. Journal of Statistical Physics. 2020 ; 178( 4): 869-892.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-019-02467-1
Vancouver
Galves A, Löcherbach E, Pouzat C, Presutti E. A system of interacting neurons with short term synaptic facilitation [Internet]. Journal of Statistical Physics. 2020 ; 178( 4): 869-892.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-019-02467-1
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DUARTE, Aline et al. Estimating the interaction graph of stochastic neural dynamics. Bernoulli, v. 25, n. 1, p. 771-792, 2019Tradução . . Disponível em: https://doi.org/10.3150/17-bej1006. Acesso em: 21 out. 2024.
APA
Duarte, A., Galves, A., Löcherbach, E., & Ost, G. (2019). Estimating the interaction graph of stochastic neural dynamics. Bernoulli, 25( 1), 771-792. doi:10.3150/17-bej1006
NLM
Duarte A, Galves A, Löcherbach E, Ost G. Estimating the interaction graph of stochastic neural dynamics [Internet]. Bernoulli. 2019 ; 25( 1): 771-792.[citado 2024 out. 21 ] Available from: https://doi.org/10.3150/17-bej1006
Vancouver
Duarte A, Galves A, Löcherbach E, Ost G. Estimating the interaction graph of stochastic neural dynamics [Internet]. Bernoulli. 2019 ; 25( 1): 771-792.[citado 2024 out. 21 ] Available from: https://doi.org/10.3150/17-bej1006
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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: 21 out. 2024.
APA
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
NLM
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 2024 out. 21 ] 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 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-018-2118-6
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GALVES, Antonio. Estatísticas, redes sociais e manipulação de eleitores. Ciência & Matemática. Rio de Janeiro: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://blogs.oglobo.globo.com/ciencia-matematica/post/estatisticas-redes-sociais-e-manipulacao-de-eleitores.html. Acesso em: 21 out. 2024. , 2018
APA
Galves, A. (2018). Estatísticas, redes sociais e manipulação de eleitores. Ciência & Matemática. Rio de Janeiro: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://blogs.oglobo.globo.com/ciencia-matematica/post/estatisticas-redes-sociais-e-manipulacao-de-eleitores.html
NLM
Galves A. Estatísticas, redes sociais e manipulação de eleitores [Internet]. Ciência & Matemática. 2018 ;[citado 2024 out. 21 ] Available from: https://blogs.oglobo.globo.com/ciencia-matematica/post/estatisticas-redes-sociais-e-manipulacao-de-eleitores.html
Vancouver
Galves A. Estatísticas, redes sociais e manipulação de eleitores [Internet]. Ciência & Matemática. 2018 ;[citado 2024 out. 21 ] Available from: https://blogs.oglobo.globo.com/ciencia-matematica/post/estatisticas-redes-sociais-e-manipulacao-de-eleitores.html
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PIEMONTE, Maria Elisa Pimentel et al. Association between deficiencies in implicit learning and dual-task gait performance and balance control in patients with Parkinson's disease. Movement disorders. New York: Faculdade de Medicina, Universidade de São Paulo. Disponível em: https://doi.org/10.1002/mds.26972. Acesso em: 21 out. 2024. , 2017
APA
Piemonte, M. E. P., D'Alencar, M., Monte, B., Helene, A. F., & Galves, A. (2017). Association between deficiencies in implicit learning and dual-task gait performance and balance control in patients with Parkinson's disease. Movement disorders. New York: Faculdade de Medicina, Universidade de São Paulo. doi:10.1002/mds.26972
NLM
Piemonte MEP, D'Alencar M, Monte B, Helene AF, Galves A. Association between deficiencies in implicit learning and dual-task gait performance and balance control in patients with Parkinson's disease [Internet]. Movement disorders. 2017 ; 32 S42.[citado 2024 out. 21 ] Available from: https://doi.org/10.1002/mds.26972
Vancouver
Piemonte MEP, D'Alencar M, Monte B, Helene AF, Galves A. Association between deficiencies in implicit learning and dual-task gait performance and balance control in patients with Parkinson's disease [Internet]. Movement disorders. 2017 ; 32 S42.[citado 2024 out. 21 ] Available from: https://doi.org/10.1002/mds.26972
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CASSANDRO, Marzio e GALVES, Antonio e LÖCHERBACH, E. Information transmission and criticality in the contact process. Journal of Statistical Physics, v. 168, n. 6, p. 1180-1190, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10955-017-1854-3. Acesso em: 21 out. 2024.
APA
Cassandro, M., Galves, A., & Löcherbach, E. (2017). Information transmission and criticality in the contact process. Journal of Statistical Physics, 168( 6), 1180-1190. doi:10.1007/s10955-017-1854-3
NLM
Cassandro M, Galves A, Löcherbach E. Information transmission and criticality in the contact process [Internet]. Journal of Statistical Physics. 2017 ; 168( 6): 1180-1190.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-017-1854-3
Vancouver
Cassandro M, Galves A, Löcherbach E. Information transmission and criticality in the contact process [Internet]. Journal of Statistical Physics. 2017 ; 168( 6): 1180-1190.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-017-1854-3
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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: 21 out. 2024.
APA
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
NLM
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 out. 21 ] 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 out. 21 ] Available from: http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/517
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GALVES, Antonio e ORLANDI, Enza e TAKAHASHI, Daniel Yasumasa. Identifying interacting pairs of sites in Ising models on a countable set. Brazilian Journal of Probability and Statistics, v. 29, n. 2, p. 443-459, 2015Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS279. Acesso em: 21 out. 2024.
APA
Galves, A., Orlandi, E., & Takahashi, D. Y. (2015). Identifying interacting pairs of sites in Ising models on a countable set. Brazilian Journal of Probability and Statistics, 29( 2), 443-459. doi:10.1214/14-BJPS279
NLM
Galves A, Orlandi E, Takahashi DY. Identifying interacting pairs of sites in Ising models on a countable set [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 2): 443-459.[citado 2024 out. 21 ] Available from: https://doi.org/10.1214/14-BJPS279
Vancouver
Galves A, Orlandi E, Takahashi DY. Identifying interacting pairs of sites in Ising models on a countable set [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 2): 443-459.[citado 2024 out. 21 ] Available from: https://doi.org/10.1214/14-BJPS279
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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: 21 out. 2024.
APA
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 out. 21 ] 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 out. 21 ] Available from: https://doi.org/10.1007/s10955-014-1145-1
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GALVES, Antonio e LÖCHERBACH, Eva. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets. Journal of Statistical Physics, v. 151, n. 5, p. 896-921, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10955-013-0733-9. Acesso em: 21 out. 2024.
APA
Galves, A., & Löcherbach, E. (2013). Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets. Journal of Statistical Physics, 151( 5), 896-921. doi:10.1007/s10955-013-0733-9
NLM
Galves A, Löcherbach E. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets [Internet]. Journal of Statistical Physics. 2013 ; 151( 5): 896-921.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-013-0733-9
Vancouver
Galves A, Löcherbach E. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets [Internet]. Journal of Statistical Physics. 2013 ; 151( 5): 896-921.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-013-0733-9
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CRUZ, Henrique de Brito et al. A expansão do conhecimento: os novos Centros de Pesquisa, Inovação e Difusão da FAPESP projetam mais impacto e ousadia para a ciência do país. [Depoimento a Fabrício Marques]. Pesquisa Fapesp. São Paulo: Instituto de Química, Universidade de São Paulo. Disponível em: http://revistapesquisa.fapesp.br/2013/06/05/a-expansao-do-conhecimento/. Acesso em: 21 out. 2024. , 2013
APA
Cruz, H. de B., Chaimovich Guralnik, H., Zago, M. A., Bagnato, V. S., Zatz, M., Oliva, G., et al. (2013). A expansão do conhecimento: os novos Centros de Pesquisa, Inovação e Difusão da FAPESP projetam mais impacto e ousadia para a ciência do país. [Depoimento a Fabrício Marques]. Pesquisa Fapesp. São Paulo: Instituto de Química, Universidade de São Paulo. Recuperado de http://revistapesquisa.fapesp.br/2013/06/05/a-expansao-do-conhecimento/
NLM
Cruz H de B, Chaimovich Guralnik H, Zago MA, Bagnato VS, Zatz M, Oliva G, Arretche MT da S, Adorno S, Cendes F, Velloso LA, Armelin HA, Cunha FQ, Augusto O, Galves A, Cuminato JA, Skaf M, Franco BDG de M, Zanotto E, Longo E. A expansão do conhecimento: os novos Centros de Pesquisa, Inovação e Difusão da FAPESP projetam mais impacto e ousadia para a ciência do país. [Depoimento a Fabrício Marques] [Internet]. Pesquisa Fapesp. 2013 ;( ju 2013): 17-25.[citado 2024 out. 21 ] Available from: http://revistapesquisa.fapesp.br/2013/06/05/a-expansao-do-conhecimento/
Vancouver
Cruz H de B, Chaimovich Guralnik H, Zago MA, Bagnato VS, Zatz M, Oliva G, Arretche MT da S, Adorno S, Cendes F, Velloso LA, Armelin HA, Cunha FQ, Augusto O, Galves A, Cuminato JA, Skaf M, Franco BDG de M, Zanotto E, Longo E. A expansão do conhecimento: os novos Centros de Pesquisa, Inovação e Difusão da FAPESP projetam mais impacto e ousadia para a ciência do país. [Depoimento a Fabrício Marques] [Internet]. Pesquisa Fapesp. 2013 ;( ju 2013): 17-25.[citado 2024 out. 21 ] Available from: http://revistapesquisa.fapesp.br/2013/06/05/a-expansao-do-conhecimento/
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GALVES, Antonio e GARIVIER, Aurélien e GASSIAT, Elisabeth. Joint estimation of intersecting context tree models. Scandinavian Journal of Statistics, v. 40, n. 2, p. 344-362, 2013Tradução . . Disponível em: https://doi.org/10.1111/j.1467-9469.2012.00814.x. Acesso em: 21 out. 2024.
APA
Galves, A., Garivier, A., & Gassiat, E. (2013). Joint estimation of intersecting context tree models. Scandinavian Journal of Statistics, 40( 2), 344-362. doi:10.1111/j.1467-9469.2012.00814.x
NLM
Galves A, Garivier A, Gassiat E. Joint estimation of intersecting context tree models [Internet]. Scandinavian Journal of Statistics. 2013 ; 40( 2): 344-362.[citado 2024 out. 21 ] Available from: https://doi.org/10.1111/j.1467-9469.2012.00814.x
Vancouver
Galves A, Garivier A, Gassiat E. Joint estimation of intersecting context tree models [Internet]. Scandinavian Journal of Statistics. 2013 ; 40( 2): 344-362.[citado 2024 out. 21 ] Available from: https://doi.org/10.1111/j.1467-9469.2012.00814.x
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CASSANDRO, Marzio e GALVES, Antonio e LÖCHERBACH, Eva. Partially observed Markov random fields are variable neighborhood random fields. Journal of Statistical Physics, v. 147, n. 4, p. 795-807, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0488-8. Acesso em: 21 out. 2024.
APA
Cassandro, M., Galves, A., & Löcherbach, E. (2012). Partially observed Markov random fields are variable neighborhood random fields. Journal of Statistical Physics, 147( 4), 795-807. doi:10.1007/s10955-012-0488-8
NLM
Cassandro M, Galves A, Löcherbach E. Partially observed Markov random fields are variable neighborhood random fields [Internet]. Journal of Statistical Physics. 2012 ; 147( 4): 795-807.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-012-0488-8
Vancouver
Cassandro M, Galves A, Löcherbach E. Partially observed Markov random fields are variable neighborhood random fields [Internet]. Journal of Statistical Physics. 2012 ; 147( 4): 795-807.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-012-0488-8
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COLLET, Pierre e GALVES, Antonio. Chains of infinite order, chains with memory of variable length, and maps of the interval. Journal of Statistical Physics, v. 149, n. 1, p. 73-85, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0579-6. Acesso em: 21 out. 2024.
APA
Collet, P., & Galves, A. (2012). Chains of infinite order, chains with memory of variable length, and maps of the interval. Journal of Statistical Physics, 149( 1), 73-85. doi:10.1007/s10955-012-0579-6
NLM
Collet P, Galves A. Chains of infinite order, chains with memory of variable length, and maps of the interval [Internet]. Journal of Statistical Physics. 2012 ; 149( 1): 73-85.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-012-0579-6
Vancouver
Collet P, Galves A. Chains of infinite order, chains with memory of variable length, and maps of the interval [Internet]. Journal of Statistical Physics. 2012 ; 149( 1): 73-85.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-012-0579-6
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GALVES, Antonio e PECHERSKY, E e YAMBARTSEV, Anatoli. Gibbs models with a variable range of interactions on triangle grid. 2011, Anais.. New York: IEEE, 2011. Disponível em: https://doi.org/10.1109/ISIT.2011.6034132. Acesso em: 21 out. 2024.
APA
Galves, A., Pechersky, E., & Yambartsev, A. (2011). Gibbs models with a variable range of interactions on triangle grid. In Proceedings. New York: IEEE. doi:10.1109/ISIT.2011.6034132
NLM
Galves A, Pechersky E, Yambartsev A. Gibbs models with a variable range of interactions on triangle grid [Internet]. Proceedings. 2011 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1109/ISIT.2011.6034132
Vancouver
Galves A, Pechersky E, Yambartsev A. Gibbs models with a variable range of interactions on triangle grid [Internet]. Proceedings. 2011 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1109/ISIT.2011.6034132
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GALVES, Antonio e LÖCHERBACH, Eva e ORLANDI, Enza. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations. Journal of Statistical Physics, v. 138, n. 1-3, p. 476-495, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10955-009-9881-3. Acesso em: 21 out. 2024.
APA
Galves, A., Löcherbach, E., & Orlandi, E. (2010). Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations. Journal of Statistical Physics, 138( 1-3), 476-495. doi:10.1007/s10955-009-9881-3
NLM
Galves A, Löcherbach E, Orlandi E. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations [Internet]. Journal of Statistical Physics. 2010 ; 138( 1-3): 476-495.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-009-9881-3
Vancouver
Galves A, Löcherbach E, Orlandi E. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations [Internet]. Journal of Statistical Physics. 2010 ; 138( 1-3): 476-495.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s10955-009-9881-3
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GALVES, Antonio e MAUME-DESCHAMPS, Véronique e SCHMITT , Bernard. Exponential inequalities for VLMC empirical trees. ESAIM: Probability & Statistics, v. 12, p. 219-229, 2008Tradução . . Disponível em: https://doi.org/10.1051/ps:2007035. Acesso em: 21 out. 2024.
APA
Galves, A., Maume-Deschamps, V., & Schmitt , B. (2008). Exponential inequalities for VLMC empirical trees. ESAIM: Probability & Statistics, 12, 219-229. doi:10.1051/ps:2007035
NLM
Galves A, Maume-Deschamps V, Schmitt B. Exponential inequalities for VLMC empirical trees [Internet]. ESAIM: Probability & Statistics. 2008 ; 12 219-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1051/ps:2007035
Vancouver
Galves A, Maume-Deschamps V, Schmitt B. Exponential inequalities for VLMC empirical trees [Internet]. ESAIM: Probability & Statistics. 2008 ; 12 219-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1051/ps:2007035
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GALVES, Antonio e LEONARDI, Florencia Graciela. Exponential inequalities for empirical unbounded context trees. In and out of equilibrium 2. Tradução . Basel: Birkhäuser, 2008. . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12. Acesso em: 21 out. 2024.
APA
Galves, A., & Leonardi, F. G. (2008). Exponential inequalities for empirical unbounded context trees. In In and out of equilibrium 2. Basel: Birkhäuser. doi:10.1007/978-3-7643-8786-0_12
NLM
Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 out. 21 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12
Vancouver
Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 out. 21 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12