• Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity, A. Bonnet, M. Martinez Herrera, M. Sangnier, Statistics and Computing, 2023
•  Uniform Deconvolution for Poisson Point Processes, A. Bonnet, C. Lacour, F. Picard, V. Rivoirard, Journal of Machine Learning Research, 2022.  The code is available here.
  

• Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes, A. Bonnet, C. Dion-Blanc, F. Gindraud, S. Lemler, Journal of Neuroscience methods, 2022
• Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition,  A. Bonnet, M. Martinez Herrera, M. Sangnier,  Statistics and Probability Letters, 2021
• Modeling genomic interactions with the Hawkes model, A. Bonnet, V. Rivoirard, F. Picard, 2018
• Heritability estimation in case-control studies, A. Bonnet, Electronic Journal of Statistics, 2018
  
• Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models,
  A. Bonnet, C. Lévy-Leduc, E. Gassiat, R. Toro, T. Bourgeron, Journal of the Royal Statistical Society, Series C (Applied Statistics), 2018
•  Heritability estimation in high dimensional sparse linear mixed models, A. Bonnet, E. Gassiat, C. Lévy-Leduc, Electronic Journal of Statistics, 2015