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Juliette Chevallier
Juliette Chevallier
Institut de Mathématiques de Toulouse
Verified email at insa-toulouse.fr - Homepage
Title
Cited by
Cited by
Year
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling
S Allassonnière, J Chevallier
Computational Statistics & Data Analysis 159, 107159, 2021
32*2021
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
J Chevallier, S Oudard, S Allassonnière
Advances in Neural Information Processing Systems, 1152-1160, 2017
21*2017
A coherent framework for learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
J Chevallier, V Debavelaere, S Allassonniere
SIAM Journal on Imaging Sciences 14 (1), 349-388, 2021
52021
Pandemic intensity estimation from Stochastic Approximation-based algorithms
P Abry, J Chevallier, G Fort, B Pascal
2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023
12023
Hierarchical Bayesian Estimation of COVID-19 Reproduction Number
P Abry, J Chevallier, G Fort, B Pascal
2024
Minimax density estimation in the adversarial framework under local differential privacy
M Albert, J Chevallier, B Laurent, O Sacko
arXiv preprint arXiv:2403.18357, 2024
2024
Statistical models and stochastic algorithms for the analysis of longitudinal Riemanian manifold valued data with multiple dynamic
J Chevallier
Université Paris Saclay (COmUE), 2019
2019
Algorithme SAEM: Par dela l’étape de simulation
J Chevallier
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