Marion Naveau
PhD student in Mathematics in Université Paris-Saclay, INRAE
and Agrégée in Mathematics
Biography
Education - CV in French
2021-2024: PhD at INRAE, Université Paris-Saclay. High-dimensional variable selection procedures in nonlinear mixed effects models. Application in plant breeding.
2020-2021: Master's degree in mathematics applied to life sciences at Université Paris-Saclay.
2020: French agrégation of mathematics.
2018-2019: Master's degree 1 in fundamental mathematics at Université Paris-Saclay.
2017-2018: Bachelor's degree in fundamental mathematics at Université Paris-Saclay.
Research
Thesis (link)
Title: High-dimensional variable selection procedures in nonlinear mixed effects models. Application in plant breeding.
Supervisors: Maud Delattre (INRAE, MaIAGE) and Laure Sansonnet (INRAE, AgroParisTech, MIA Paris-Saclay).
Start of the PhD: 1 September 2021.
Funding: ANR project Stat4Plant ANR-20-CE45-0012 (website)
Fields of research
High-dimensional data
Variable selection
Non-linear mixed effects models
Bayesian variable selection
Spike-and-slab priors
Selection consistency
EM algorithm and its extensions
Publications
M. Naveau, G. Kon Kam King, R. Rincent, L. Sansonnet, M. Delattre. Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm. Statistics and Computing, 2023, 34 (1), pp.53. ⟨10.1007/s11222-023-10367-4⟩. arXiv:2206.01012 link
Erratum B_{nu_0}=|\hat S_{nu_0}| in equation (15)!M.Naveau, M. Delattre, L. Sansonnet. Posterior contraction rates in a sparse non-linear mixed-effects model, preprint hal-04561040, arXiv:2405.01206 link
Talks
Colloque Jeunes Probabilistes et Statisticiens, Selection consistency in non-linear mixed-effects models under spike-and-slab prior - Île d'Oléron (France), October 2023
European Meeting of Statisticians, High-dimensional variable selection in non-linear mixed-effects models using a stochastic EM spike-and-slab - Warsaw (Poland), July 2023
Unit Seminar of MIA Paris-Saclay, High-dimensional variable selection in non-linear mixed-effects models using a stochastic EM spike-and-slab - Palaiseau (France), June 2023
PhD seminar of MIA Paris-Saclay, Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm - Palaiseau (France), December 2022
Unit seminar INSERM, labo IAME, team BIPID, Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm - Paris (France), November 2022
ISBA World Meeting (Poster), High-dimensional variable selection in non-linear mixed-effects models using a stochastic EM spike-and-slab - Montréal (Canada), June 2022
53ème Journées de Statistique de la SFdS, Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm - Lyon (France), June 2022
Journée AppliBUGS, Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm - Lyon (France), June 2022
9ème Rencontre des Jeunes Statisticiens, High-dimensional variable selection in nonlinear mixed effects models - Porquerolles (France), April 2022
Teaching
2021-2024: IUT Orsay computer science department
For first-year students: discrete mathematics (logic, set vocabulary, arithmetic, functions/applications), fundamental concepts (matrix calculus, linear systems, polynomials)
For second-year students: mathematics for data security (linear algebra and error-correcting codes), modeling (polynomials, complex numbers, linear algebra and diagonalisation), probabilities (discrete and continuous random variables, sums and sequences of random variables, limit theorems and approximations, probabilistic graphs and Markov chains, random generators)
Contact
Email address
marion.naveau(at)inrae.fr
Address
Campus Agro Paris-Saclay, Unité MIA Paris-Saclay (website)
22 place de l'Agronomie, 91120 Palaiseau (France)