Anna Bonnet

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Publications

 

  • 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

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