Publications

Peer-reviewed Publications

6. Eustache, E. Dagdoug, M., & Haziza, D. (2025). On high-dimensional variance estimation in survey sampling.
Scandinavian Journal of Statistics, 52(2), 924–959 (Preprint).

5. Dagdoug, M., Goga, C., & Haziza, D. (2025). Statistical inference in the presence of imputed survey data through regression trees and random forests.
Scandinavian Journal of Statistics, 52(2), 960–998 (Preprint).

4. Larbi, K., Tsang, J., Haziza, D. & Dagdoug. M. (2024). Treatment of unit nonresponse in surveys through machine learning methods: an empirical comparison.
Accepted for publication in Survey Methodology (Preprint).

3. Dagdoug, M., Goga, C. & Haziza, D. (2023). Model-assisted estimation in high-dimensional settings for survey data.
Journal of Applied Statistics, 50(3), 761-785 (Preprint, Supplementary materials).

2. Dagdoug, M., Goga, C. & Haziza, D. (2023). Model-assisted estimation through random forests in finite population sampling.
Journal of the American Statistical Association, 118(542), 1234-1251 (Preprint, Supplementary materials).

1. Dagdoug, M., Goga, C. & Haziza, D. (2023). Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison.
Journal of Survey Statistics and Methodology, 11(1), 141-188 (Preprint).

Conference Proceedings

2. Dagdoug, M., & Haziza, D. (2025). Statistical Inference for a Finite Population Mean with Machine Learning-Based Imputation for Missing Survey Data.
In Proceedings of the Statistics Canada International Symposium Series.

1. Dagdoug, M., Goga, C. & Haziza, D. (2022). Arbres et forêts aléatoires : d’une approche par modélisation assistée au traitement de la nonréponse.
In Actes de la 14e édition des Journées de méthodologie statistique de l’Insee (JMS 2022).