Publications

Journal articles and preprints

2026

11.

Agnostic model-assisted estimation with machine learning for survey data

Z. An, M. Dagdoug, D. Haziza and Y. Tillé.

Submitted.

10.

High-dimensional variance estimation for the generalized regression estimator

K. Bouhadra and M. Dagdoug.

To appear in The Survey Statistician.

9.

Machine learning methods for finite population parameter estimation in survey sampling

M. Dagdoug and D. Haziza.

Submitted.

8.

Variable selection for linear regression imputation in surveys

Z. An, M. Dagdoug and D. Haziza.

Submitted.

2025

2023

Conference proceedings

2025

3.

Statistical inference for a finite population mean with machine learning-based imputation for missing survey data

M. Dagdoug and D. Haziza.

In Proceedings of Statistics Canada Symposium 2024.

2022

2.

Arbres et forêts aléatoires : d’une approche par modélisation assistée au traitement de la non-réponse

M. Dagdoug, C. Goga and D. Haziza.

In Actes de la 14e édition des Journées de méthodologie statistique de l’Insee (JMS 2022).

1.

Treatment of unit nonresponse in surveys through machine learning methods: an empirical comparison

K. Larbi, D. Haziza and M. Dagdoug.

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.