Conferences

Plenary conferences

• 2 - 5 September 2025: Dagdoug, M., Opening Plenary Lecture of the Annual Congress of the German Statistical Society, Wiesbaden, Germany. Estimation of Uncertainty.
• 21 - 24 March 2023: Dagdoug, M., Goga, C. & Haziza, D., 12e Colloque International Francophone sur les Sondages, Aubervilliers, France. Model-assisted estimation through random forests in finite population sampling.

Invited conferences

• 21 - 23 August 2025: Dagdoug, M., & Haziza, D., EcoSta 2025, Tokyo, Japan. Double machine learning for nonresponse in surveys.
• 2 - 7 August 2025: Dagdoug, M., & Haziza, D., 2025 Joint Statistical Meetings, Nashville, USA. On the use of machine learning methods for the treatment of unit nonresponse in surveys.
• 6 - 9 June 2025: Dagdoug, M., & Haziza, D., 2025 CMS Summer Meeting, Québec, Canada. Double Machine Learning for Nonresponse in Surveys.
• 9 December 2024: Dagdoug, M., Eustache, E. & Haziza, D., Bank of Canada Workshop: Understanding and Correcting for Non-response Bias, Ottawa, Canada. High-dimensional variance estimation for model-assisted and imputed estimators.
• 8 - 10 July 2024: Dagdoug, M., CANSSI-CRT Workshop on Modern Methods in Survey Sampling, Ottawa, Canada. Variance estimation for survey estimators based on statistical learning models.
• 17 - 20 June 2024: Dagdoug, M., Eustache, E. & Haziza, D., SIS 2024, Bari, Italy. High-dimensional variance estimation in survey sampling.
• 7 - 9 June 2024: Dagdoug, M., Eustache, E. & Haziza, D., ICSA-Canada Chapter 2024 Symposium, Niagara Falls, Canada. Variance estimation for survey estimators based on statistical learning models.
• 2 - 5 June 2024: Dagdoug, M., Eustache, E. & Haziza, D., 2024 SSC Annual Meeting, St. John’s, Canada. Variance estimation for survey estimators based on statistical learning models.
• 18 April 2024: Dagdoug, M., Séminaire en ligne sur les sondages, France (online). Apprentissage statistique pour l’échantillonnage en population finie.
• 16 - 18 December 2023: Dagdoug, M., & Haziza, D., 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Berlin, Germany. Variance estimation for survey estimators based on statistical learning procedures.
• 5 - 8 July 2022: Dagdoug, M., Goga, C. & Haziza, D., Summer School on Modern Methods in Survey Sampling, Ottawa, Canada. Random forests imputation in surveys.
• 30 - 3 May-June 2022: Dagdoug, M., Goga, C. & Haziza, D., Congrès annuel 2021 de la Société de Statistique du Canada, Ottawa, Canada (Virtual). Model-assisted estimation through random forests in finite population sampling.
• 8 - 10 June 2022: Dagdoug, M., Goga, C. & Haziza, D., ITACOSM2022, Perugia, Italy. High-dimensional convergence for model-assisted estimators.
• 7 - 12 August 2021: Dagdoug, M., Goga, C. & Haziza, D., Joint Statistical Meeting (JSM) 2021, Seattle, United States (Virtual). Random forests imputation in surveys.
• 15 - 18 July 2021: Dagdoug, M., Goga, C. & Haziza, D., Statistics 2021 Canada, Montreal, Canada (Virtual). Model-assisted estimation through random forests in finite population sampling.
• 19 - 21 December 2020: Dagdoug, M., Goga, C. & Haziza, D., 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, England (Virtual). Model-assisted estimation through random forests in finite population sampling.

Contributed conferences

• 28 - 31 May 2023: Dagdoug, M., Eustache, E. & Haziza, D., SSC 2023 Annual Meeting, Ottawa, Canada. High-dimensional model-assisted estimation for survey data.
• 29 - 31 March 2022: Dagdoug, M., Goga, C. & Haziza, D., Journées de Méthodologie Statistique de l’Insee 2022 (JMS2022), Paris, France. Random forests in surveys: from model-assisted estimation to imputation.
• 8 - 10 December 2021: Dagdoug, M., Goga, C. & Haziza, D., Forum des Jeunes Mathématicien.ne.s, Besançon, France. Random forests imputation in surveys.
• 6-8 October 2021: Dagdoug, M., Goga, C. & Haziza, D., 11e Colloque International Francophone sur les Sondages, Bruxelles, Belgium. Random forests imputation in surveys.
• 6 - 8 October 2021: Dagdoug, M., Goga, C. & Haziza, D., 11e Colloque International Francophone sur les Sondages, Bruxelles, Belgium. Model-assisted estimation through random forests in finite population sampling, presentation with Camelia Goga.
• 11 - 16 July 2021: Dagdoug, M., Goga, C. & Haziza, D., 63rd ISI World Statistics Congress, The Hague, Netherlands (Virtual). Convergence rates of model-assisted estimators in high-dimensional settings.
• 7 - 9 July 2021: Dagdoug, M., Goga, C. & Haziza, D., Conference in honor of Fred Smith and Chris Skinner, Southampton, England (Virtual). Model-assisted estimation through random forests in finite population sampling.
• 5 July 2021: Dagdoug, M., Goga, C. & Haziza, D., 6ème Journée « probabilités et statistiques Besançon-Dijon », Dijon, France. High-dimensional asymptotics for model-assisted estimation.
• 7 - 11 June 2021: Dagdoug, M., Goga, C. & Haziza, D., Congrès annuel 2021 de la Société de Statistique du Canada, Ottawa, Canada (Virtual). Model-asssisted estimation through random forests in finite population sampling.
• 7 - 11 June 2021: Dagdoug, M., Goga, C. & Haziza, D., 52ème Journées de Statistiques de la Société Française de Statistique, Nice, France (Virtual). Model-asssisted estimation through random forests in finite population sampling.
• 12 April 2019: Dagdoug, M., Sixième Journée des Jeunes Chercheurs en Mathématiques de l’UBFC, Besançon, France. Imputation and calibration reweighting for surveys with missing data.

Invited seminars and other events

• 7 March 2025: Dagdoug, M., Statistics seminar of the University of Winnipeg, Winnipeg, Canada. Statistical learning for finite population sampling: some challenges.
• 16 November 2024: Dagdoug, M., Séminaire de Statistique, Université de Bourgogone Franche-Comté, Besançon, France. Statistical learning for finite population sampling: some challenges.
• 27 November 2023: Dagdoug, M., Goga, C. & Haziza, D., Séminaire de Statistique, Université de Sherbrooke, Sherbrooke, Canada. Inference in surveys with random forest imputed estimators.
• 18 September 2023: Dagdoug, M., Goga, C. & Haziza, D., Centre de Recherches en Mathématiques (CRM), Applied Mathematics Seminars, Montreal, Canada. Statistical inference in surveys with random forest imputed estimators.
• 6 June 2023: Dagdoug, M., Goga, C. & Haziza, D., Bank of Canada, Ottawa, Canada. Statistical Inference in the Presence of Imputed Survey Data Through Regression Trees and Random Forests.
• 22 February 2023: Dagdoug, M., Séminaire de statistique de l’Université du Québec à Montréal (STATQAM), Montréal, Canada. Statistical learning for high-dimensional sampling.
• 24 June 2022: Dagdoug, M., Goga, C. & Haziza, D., XXIièmes journées de l’École Doctorale Carnot-Pasteur, Besançon, France. High-dimensional consistency for model-assisted estimators in surveys.
• 3 March 2022: Dagdoug, M., Goga, C. & Haziza, D., Séminaire de l’Institut de Statistique de Neuchâtel, Neuchâtel, Switzerland. Imputation par arbres de régression et forêts aléatoires en théorie des sondages.
• 3 March 2022: Dagdoug, M., Goga, C. & Haziza, D., Séminaire des doctorants du Laboratoire de Mathématiques de Besançon, Besançon, France. Analysis of regression tree and random forest imputation in surveys.
• 24 February 2022: Dagdoug, M., Goga, C. & Haziza, D., Séminaire des doctorants de l’institut mathématiques de Bourgogne, Dijon, France. Analysis of regression tree and random forest imputation in surveys.
• 30 November 2020: Dagdoug, M., Goga, C. & Haziza, D., Séminaire de l’équipe Probabilités et Statistiques du Laboratoire de Mathématiques de Besançon, Besançon, France (Virtual). Model-assisted estimation through random forests in finite population sampling.
• December 2019: Dagdoug, M., Goga, C. & Haziza, D., Séminaire des doctorants du Laboratoire de Mathématiques de Besançon, Besançon, France. Model-assisted estimation through random forests in finite population sampling.