Published
- Gaussian linear model selection in a dependent context, with Jérôme Dedecker and Bertrand Michel. Electronic Journal of Statistics, 2021, Vol. 15, No. 2, pp. 4823--4867
- Linear regression with stationary errors : the R package slm, with Jérôme Dedecker and Bertrand Michel. The R Journal, 2021, Vol. 13, No. 1, pp. 83--100
- Asymptotic distribution of least square estimators for linear models with dependent errors, Statistics, 2019, Vol. 53, No. 4, pp. 885--902
- Asymptotic distribution of least square estimators for linear models with dependent errors: regular designs, with Sophie Dédé. Mathematical Methods of Statistics, 2018, Vol. 27, No. 4, pp. 268--293
Conferences
- Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint, with Stéphane Chrétien. ESANN 2021 (Bruges, Belgium)
R Packages
- I am the maintainer of the R package slm. The package is available on the CRAN website and on the GitHub website.
The slm package enables to fit linear models on datasets considering the dependence between the observations. Most of the functions are based on the functions and methods of lm, with the same arguments and the same format for the outputs.
Manuscrit de thèse
Thèse de doctorat. Soutenue le 17 octobre 2019 à l'Ecole Centrale de Nantes, au Laboratoire de Mathématiques Jean Leray, sous la direction de Jérôme Dedecker et Bertrand Michel