| Model-assisted estimation through random forests in finite population sampling M Dagdoug, C Goga, D Haziza Journal of the American Statistical Association 118 (542), 1234-1251, 2023 | 36 | 2023 |
| Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison M Dagdoug, C Goga, D Haziza Journal of Survey Statistics and Methodology 11 (1), 141-188, 2023 | 10 | 2023 |
| Model-assisted estimation in high-dimensional settings for survey data M Dagdoug, C Goga, D Haziza Journal of Applied Statistics 50 (3), 761-785, 2023 | 9 | 2023 |
| B-spline based imputation procedures for the treatment of item nonresponse in surveys. in work C Goga, D Haziza, M Dagdoug | 3 | 2020 |
| Statistical learning for high-dimensional finite population sampling M Dagdoug Université Bourgogne Franche-Comté, 2022 | | 2022 |
| Apprentissage statistique pour l'échantillonage en grande dimension M Dagdoug Bourgogne Franche-Comté, 2022 | | 2022 |
| Arbres et forêts aléatoires: d’une approche par modélisation assistée au traitement de la nonréponse M Dagdoug, C Goga, D Haziza | | |
| Model-assisted estimation in high-dimensional settings for survey data Supplementary material M Dagdoug, C Goga, D Haziza | | |
| Imputation par forêts aléatoires en théorie des sondages M Dagdoug, C Goga, D Haziza | | |
