| Mean-field limit of generalized Hawkes processes J Chevallier Stochastic Processes and their Applications 127 (12), 3870-3912, 2017 | 107 | 2017 |
| Microscopic approach of a time elapsed neural model J Chevallier, MJ Cáceres, M Doumic, P Reynaud-Bouret Mathematical Models and Methods in Applied Sciences 25 (14), 2669-2719, 2015 | 87 | 2015 |
| Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels J Chevallier, A Duarte, E Löcherbach, G Ost Stochastic Processes and their Applications 129 (1), 1-27, 2019 | 46 | 2019 |
| Fluctuations for mean-field interacting age-dependent Hawkes processes J Chevallier Electronic Journal of Probability 22, 1-49, 2017 | 23 | 2017 |
| Uniform decomposition of probability measures: quantization, clustering and rate of convergence J Chevallier Journal of Applied Probability 55 (4), 1037-1045, 2018 | 22* | 2018 |
| Fluctuations for spatially extended Hawkes processes J Chevallier, G Ost Stochastic Processes and their Applications 130 (9), 5510-5542, 2020 | 10 | 2020 |
| Detection of dependence patterns with delay J Chevallier, T Laloë Biometrical Journal 57 (6), 1110-1130, 2015 | 9 | 2015 |
| Stimulus sensitivity of a spiking neural network model J Chevallier Journal of Statistical Physics 170 (4), 800-808, 2018 | 5 | 2018 |
| Modélisation de grands réseaux de neurones par processus de Hawkes J Chevallier Université Côte d'Azur, 2016 | 4* | 2016 |
| Détection de motifs de dépendance entre neurones J Chevallier Preprint, 2013 | 4 | 2013 |
| Approximation par champ-moyen: le couplage à la Sznitman pour les nuls J Chevallier | 1 | 2017 |
Guilherme OstAssistant Professor at Universidade Federal do Rio de Janeiro在 im.ufrj.br 的电子邮件经过验证
