Publications

Guédon, T., Baey, C., & Kuhn, E. (2024). Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and singular Fisher Information Matrix. Biometrika, asae025 arXiv 

Preprints

Guédon, T., Baey, C., & Kuhn, E. (2024). Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm.  arXiv preprint arxiv:2408.13022 arXiv 

PhD

Title: Variance components testing in mixed effects models with small sample sizes. Application to the study of genotypic variability in Arabidopsis thaliana 

Supervision: Estelle KUHN & Charlotte BAEY

Jury:  Tristan MARY HUARD (Président), Cécile DUROT (Rapporteure & Examinatrice), Jean-Michel MARIN (Rapporteur & Examinateur), Sébastien GADAT (Examinateur), Anne GEGOUT-PETIT (Examinatrice)

Manuscript: Link 

Software