Publications

Peer-reviewed publications

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).
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).
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).
4. Dagdoug, M., Goga, C., & Haziza, D. (2023+). Statistical inference in the presence of imputed survey data through regression trees and random forests. Submitted.
5. Larbi, K., Tsang, J., Haziza, D. & Dagdoug. M. (2023+). Treatment of unit nonresponse in surveys through machine learning methods: an empirical comparison. Submitted.
6. Eustache, E. Dagdoug, M., & Haziza, D. (2023+). On high-dimensional variance estimation in survey sampling. Submitted.

Articles in work and current projects

1. Boubacar Maïnassara, Y. & Dagdoug, M. Cross-validated selection criteria for ARMA processes.
2. Dagdoug, M., & Haziza, D. High-dimensional bootstrap for survey data.
3. Dagdoug, M. Estimator selection for model-assisted estimation.