Chevallier, J. and Ost, G. Community detection for binary graphical models in high dimension. Arxiv, 2024.
Chevallier, J., Löcherbach, E. and Ost, G. Inferring the dependence graph density of binary graphical models in high dimension. Arxiv, 2024.
Brochini, L., Galves, A., Hodara, P., Ost, G., Pouzat, C. Estimation of neuronal interaction graph from spike train data. Arxiv, 2017.
Iacobelli, G., Ost, G. and Takahashi, D. Self-switching random walks on Erdös-Rényi random graphs feel the phase transition. Stochastic Processes and their applications, Vol. 183, 2025.
Ost, G. and Reynaud-Bouret, P. Neural Coding as a Statistical Testing Problem. Mathematical Neuroscience and Applications, Vol. 3, n. 4, p. 1–33. 2023.
Ost, G. and Takahashi, D.Y. Sparse Markov Models for High-dimensional Inference. Journal of Machine Learning Research, Vol. 24(279), p. 1−54, 2023.
Gallo, S., Iacobelli, G., Ost, G. and Takahashi, D. Y. Self-Switching Markov Chains: emerging dominance phenomena. Stochastic Processes and their Applications, vol. 143, p. 254-284, 2022.
Hernandez, N., Neto, R. M. A., Duarte, A., Ost, G., Fraiman, R., Galves, A., Vargas, C. D. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data. Scientific Reports vol. 11, 3520, 2021.
Ost, G. and Reynaud-Bouret, P. Sparse space-time models: Concentration Inequalities and Lasso. Annales de l'Institut Henri Poincaré (B) Probability and Statistics, Vol. 56, No. 4, 2377–2405, 2020.
Chevallier, J. and Ost, G. Fluctuations for Spatially Extended Hawkes Processes. Stochastic Processes and their Applications, v.130, p. 5510-5542, 2020.
Duarte, A., Löcherbach, E. and Ost, G. 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, 2019.
Duarte, A., Fraiman, R., Galves, A., Vargas, C. and Ost, G. Retrieving a Context Tree from EEG Data. Mathematics, Special Issue Stochastic Processes in Neuronal Modeling, 7(5), 427, 2019.
Chevallier J., Duarte A., Löcherbach E., Ost G. Mean field limit for non linear spatially extended Hawkes processes with exponential memory kernels. Stochastic Processes and their Applications, v. 129, p. 1-27, 2019.
Duarte, A., Galves, A., Löcherbach, E. and Ost, G. Estimating the interaction graph of stochastic neural dynamics. Bernoulli, v. 25, p. 771-792, 2019.
Duarte, A. and Ost, G. A Model for Neural Activity in the Absence of External Stimuli. Markov Processes Relat. Fields v.22, n.1, pp 37-52, 2016.
Duarte, A., Rodríguez, A. A. and Ost, G. Hydrodynamic Limit for Spatially Structured Interacting Neurons. Journal of Statistical Physics, v161, n.5, pp 1163-1202, 2015.
Galves,A., Leonardi, F. and Ost, G. Statistical model selection for stochastic systems with applications to Bioinformatics, Linguistics and Neurobiology. 1. ed. Rio de Janeiro: Editora do IMPA, 2021. v. 1. 146p.