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Monografia/livro
Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology (2022)
Galves, Antonio ; Leonardi, Florencia Graciela ; Ost, Guilherme
Nome do evento: Colóquio Brasileiro de Matemática. Unidade: IME
Assunto: ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 01 dez. 2025. , 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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
Artigo de periodico
Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data (2021)
Hernández, Noslen ; Duarte, Aline ; Ost, Guilherme ; Fraiman, Ricardo ; Galves, Antonio ; Vargas, Claudia D.
Fonte: Scientific Reports. Unidade: IME
Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HERNÁNDEZ, Noslen et al. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data. Scientific Reports, v. 11, n. art. 3520, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-83119-x. Acesso em: 01 dez. 2025.
APA
Hernández, N., Duarte, A., Ost, G., Fraiman, R., Galves, A., & Vargas, C. D. (2021). Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data. Scientific Reports, 11( art. 3520), 1-15. doi:10.1038/s41598-021-83119-x
NLM
Hernández N, Duarte A, Ost G, Fraiman R, Galves A, Vargas CD. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data [Internet]. Scientific Reports. 2021 ; 11( art. 3520): 1-15.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1038/s41598-021-83119-x
Vancouver
Hernández N, Duarte A, Ost G, Fraiman R, Galves A, Vargas CD. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data [Internet]. Scientific Reports. 2021 ; 11( art. 3520): 1-15.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1038/s41598-021-83119-x
Artigo de periodico
Estimating the interaction graph of stochastic neural dynamics (2019)
Duarte, Aline ; Galves, Antonio ; Löcherbach, Eva ; Ost, Guilherme
Fonte: Bernoulli. Unidade: IME
Assuntos: BIOESTATÍSTICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.3150/17-bej1006
Artigo de periodico
Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels (2019)
Chevallier, J; Duarte, Aline ; Löcherbach, Eva ; Ost, Guilherme
Fonte: Stochastic Processes and their Applications. Unidade: IME
Assunto: PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHEVALLIER, J et al. Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels. Stochastic Processes and their Applications, v. 129, n. 1, p. 1-27, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2018.02.007. Acesso em: 01 dez. 2025.
APA
Chevallier, J., Duarte, A., Löcherbach, E., & Ost, G. (2019). Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels. Stochastic Processes and their Applications, 129( 1), 1-27. doi:10.1016/j.spa.2018.02.007
NLM
Chevallier J, Duarte A, Löcherbach E, Ost G. Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels [Internet]. Stochastic Processes and their Applications. 2019 ; 129( 1): 1-27.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.spa.2018.02.007
Vancouver
Chevallier J, Duarte A, Löcherbach E, Ost G. Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels [Internet]. Stochastic Processes and their Applications. 2019 ; 129( 1): 1-27.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.spa.2018.02.007
Artigo de periodico
Retrieving a context tree from EEG data (2019)
Duarte, Aline ; Fraiman, Ricardo ; Galves, Antonio ; Ost, Guilherme ; Vargas, Claudia Domingues
Fonte: Mathematics. Unidade: IME
Assuntos: BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DUARTE, Aline et al. Retrieving a context tree from EEG data. Mathematics, v. 7, n. 5, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.3390/math7050427. Acesso em: 01 dez. 2025.
APA
Duarte, A., Fraiman, R., Galves, A., Ost, G., & Vargas, C. D. (2019). Retrieving a context tree from EEG data. Mathematics, 7( 5), 1-13. doi:10.3390/math7050427
NLM
Duarte A, Fraiman R, Galves A, Ost G, Vargas CD. Retrieving a context tree from EEG data [Internet]. Mathematics. 2019 ; 7( 5): 1-13.[citado 2025 dez. 01 ] Available from: https://doi.org/10.3390/math7050427
Vancouver
Duarte A, Fraiman R, Galves A, Ost G, Vargas CD. Retrieving a context tree from EEG data [Internet]. Mathematics. 2019 ; 7( 5): 1-13.[citado 2025 dez. 01 ] Available from: https://doi.org/10.3390/math7050427
Artigo de periodico
Stability, convergence to equilibrium and simulation of non-linear Hawkes processes with memory kernels given by the sum of Erlang kernels (2019)
Duarte, Aline ; Löcherbach, Eva ; Ost, Guilherme
Fonte: ESAIM: Probability and Statistics. Unidade: IME
Assuntos: PROCESSOS ESTOCÁSTICOS, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DUARTE, Aline e LÖCHERBACH, Eva e OST, Guilherme. Stability, convergence to equilibrium and simulation of non-linear Hawkes processes with memory kernels given by the sum of Erlang kernels. ESAIM: Probability and Statistics, v. 23, p. 770-796, 2019Tradução . . Disponível em: https://doi.org/10.1051/ps/2019005. Acesso em: 01 dez. 2025.
APA
Duarte, A., Löcherbach, E., & Ost, G. (2019). Stability, convergence to equilibrium and simulation of non-linear Hawkes processes with memory kernels given by the sum of Erlang kernels. ESAIM: Probability and Statistics, 23, 770-796. doi:10.1051/ps/2019005
NLM
Duarte A, Löcherbach E, Ost G. Stability, convergence to equilibrium and simulation of non-linear Hawkes processes with memory kernels given by the sum of Erlang kernels [Internet]. ESAIM: Probability and Statistics. 2019 ; 23 770-796.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1051/ps/2019005
Vancouver
Duarte A, Löcherbach E, Ost G. Stability, convergence to equilibrium and simulation of non-linear Hawkes processes with memory kernels given by the sum of Erlang kernels [Internet]. ESAIM: Probability and Statistics. 2019 ; 23 770-796.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1051/ps/2019005
Artigo de periodico
Hydrodynamic limit for spatially structured interacting neurons (2015)
Duarte, Aline ; Ost, Guilherme ; Rodríguez, Andrés A.
Fonte: Journal of Statistical Physics. Unidade: IME
Assuntos: MECÂNICA ESTATÍSTICA, TEOREMAS LIMITES, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DUARTE, Aline e OST, Guilherme e RODRÍGUEZ, Andrés A. Hydrodynamic limit for spatially structured interacting neurons. Journal of Statistical Physics, v. 161, p. 1163-1202, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10955-015-1366-y. Acesso em: 01 dez. 2025.
APA
Duarte, A., Ost, G., & Rodríguez, A. A. (2015). Hydrodynamic limit for spatially structured interacting neurons. Journal of Statistical Physics, 161, 1163-1202. doi:10.1007/s10955-015-1366-y
NLM
Duarte A, Ost G, Rodríguez AA. Hydrodynamic limit for spatially structured interacting neurons [Internet]. Journal of Statistical Physics. 2015 ; 161 1163-1202.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1007/s10955-015-1366-y
Vancouver
Duarte A, Ost G, Rodríguez AA. Hydrodynamic limit for spatially structured interacting neurons [Internet]. Journal of Statistical Physics. 2015 ; 161 1163-1202.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1007/s10955-015-1366-y

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