Publications (english)

M. Albert, J. Chevallier, B. Laurent, O. Sacko, Minimax density estimation in the adversarial framework under local differential privacy, (2024), (HAL) ou (arXiv).

A. Schrab, I. Kim, M. Albert, B. Laurent, B. Guedje, A. Gretton, MMD Aggregated Two-Sample Test, Journal of Machine Learning Research, Volume 24, No. 194 (2023), p. 1–81, (HAL) ou (arXiv).
M. Albert, B. Laurent, A. Marrel, A. Meynaoui, Adaptive test of independence based on HSIC measures, Annals of Statistics, Volume 50, No. 2 (2022), p. 858–879, (HAL) ou (arXiv)
K. J. Verdière, M. Albert, F. Dehais, R. N. Roy, Physiological Synchrony Revealed by Delayed Coincidence Count: Application to a Cooperative Complex Environment, IEEE Transactions on Human-Machine SystemsVolume 50, No. 5 (2020), p. 395-404, $pdf$
M. Albert, Concentration Inequalities for Randomly Permuted Sums, In : High Dimensional Probability VIII. Birkhäuser, Cham, (2019), p. 341-383, (HAL) ou (arXiv)
M. Albert, Y. Bouret, M. Fromont, P. Reynaud-Bouret, Surrogate data methods based on a shuffling of the trials for synchrony detection: the centering issue, Neural Computation, Volume 28, No. 11 (2016), p. 2352–2392, (HAL)
M. Albert, Y. Bouret, M. Fromont, P. Reynaud-Bouret, Bootstrap and permutation tests of independence for point processes, Annals of Statistics, Volume 43, No. 6 (2015), p. 2537–2564 $pdf$

M. Albert, Y. Bouret, M. Fromont and P. Reynaud-Bouret, Tests d’indépendance entre deux processus ponctuels et application en Neurosciences (in French), proceedings of the 47th « Journées de Statistique » of the French Statistical Society (SFdS), Lille, June 2015 $pdf$

PhD Thesis (supervised by Patricia Reynaud-Bouret and Magalie Fromont) : Tests of independence by bootstrap and permutation: an asymptotic and non-asymptotic study. Application to Neurosciences $pdf$
More information here.

Master degree: Tests d’indépendance par des méthodes de permutation et de bootstrap et applications en Neurosciences (in French only) $pdf$
MSc (with Nicolas Ogorek): Processus de Poisson homogènes, application à des données génomiques (in French only) $pdf$