Publications
Journal articles and preprints
2026
High-dimensional variance estimation for the generalized regression estimator
To appear in The Survey Statistician.
Machine learning methods for finite population parameter estimation in survey sampling
Submitted.
2025
On high-dimensional variance estimation in survey sampling
Scandinavian Journal of Statistics, 52(2), 924–959.
Statistical inference in the presence of imputed survey data through regression trees and random forests
Scandinavian Journal of Statistics, 52(2), 960–998.
On the use of machine learning methods for the treatment of unit nonresponse in surveys
Survey Methodology, 51(1), 275–303.
2023
Model-assisted estimation through random forests in finite population sampling
Journal of the American Statistical Association, 118(542), 1234–1251.
Model-assisted estimation in high-dimensional settings for survey data
Journal of Applied Statistics, 50(3), 761–785.
Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison
Journal of Survey Statistics and Methodology, 11(1), 141–188.
Machine learning for finite population inference
6 papers
2026
- 11.
- 9.
2025
- 4.
2023
- 3.
- 2.
- 1.
Statistical learning from survey data
3 papers
2025
- 7.
- 5.
2023
- 3.
Missing data
4 papers
2026
- 8.
2025
- 5.
- 4.
2023
- 1.
High-dimensional inference
4 papers
2026
- 10.
- 8.
2025
- 6.
2023
- 2.
Conference proceedings
2025
Statistical inference for a finite population mean with machine learning-based imputation for missing survey data
In Proceedings of Statistics Canada Symposium 2024.
2022
Arbres et forêts aléatoires : d’une approche par modélisation assistée au traitement de la non-réponse
In Actes de la 14e édition des Journées de méthodologie statistique de l’Insee (JMS 2022).
Treatment of unit nonresponse in surveys through machine learning methods: an empirical comparison
In Actes de la 14e édition des Journées de méthodologie statistique de l’Insee (JMS 2022).
Ph.D. thesis
Statistical learning for high-dimensional sampling
Ph.D. in Mathematics, Laboratoire de Mathématiques de Besançon, Université de Bourgogne Franche-Comté. Defended on July 12, 2022.
Supervised by Camelia Goga and David Haziza.