Talks

Estimation of uncertainty Opening plenary address, Annual Congress of the German Statistical Society, Wiesbaden, Germany.

Model-assisted estimation through random forests in finite population sampling 12e Colloque International Francophone sur les Sondages, Aubervilliers, France. Joint work with C. Goga and D. Haziza.

Finite-population inference with ML-based predictions 2026 Joint Statistical Meetings, Boston, USA. Joint work with D. Haziza.

Finite-population inference with ML-based predictions 2026 SSC Annual Meeting, Hamilton, Canada. Joint work with D. Haziza.

Finite-population inference with ML-based predictions 14e Colloque Francophone International sur les Sondages, Vannes, France. Joint work with D. Haziza.

Agnostic model-assisted estimation in finite population EcoSta 2026, Kyoto, Japan. Joint work with Z. An, D. Haziza and Y. Tillé.

Machine learning for the treatment of nonresponse in surveys IVADO 2nd Workshop: Uncertainty in AI, Montréal, Canada. Joint work with D. Haziza.

Machine learning for the treatment of nonresponse in surveys 2026 SSC Annual Meeting, Hamilton, Canada. Joint work with D. Haziza.

Double machine learning for nonresponse in surveys EcoSta 2025, Tokyo, Japan. Joint work with D. Haziza.

On the use of machine learning methods for the treatment of unit nonresponse in surveys 2025 Joint Statistical Meetings, Nashville, USA. Joint work with D. Haziza.

Double machine learning for nonresponse in surveys 2025 CMS Summer Meeting, Québec, Canada. Joint work with D. Haziza.

High-dimensional variance estimation for model-assisted and imputed estimators Bank of Canada Workshop: Understanding and Correcting for Non-response Bias, Ottawa, Canada.

Variance estimation for survey estimators based on statistical learning models CANSSI-CRT Workshop on Modern Methods in Survey Sampling, Ottawa, Canada.

High-dimensional variance estimation in survey sampling SIS 2024, Bari, Italy. Joint work with E. Eustache and D. Haziza.

Variance estimation for survey estimators based on statistical learning models ICSA-Canada Chapter 2024 Symposium, Niagara Falls, Canada. Joint work with E. Eustache and D. Haziza.

Variance estimation for survey estimators based on statistical learning procedures 2024 SSC Annual Meeting, St. John's, Canada. Joint work with E. Eustache and D. Haziza.

Variance estimation for survey estimators based on statistical learning procedures Séminaire en ligne sur les sondages, France (online).

Variance estimation for survey estimators based on statistical learning procedures 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Berlin, Germany. Joint work with D. Haziza.

Analysis of regression tree and random forest imputation in surveys Summer School on Modern Methods in Survey Sampling, Ottawa, Canada. Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling 2022 SSC Annual Meeting, Ottawa, Canada (online). Joint work with C. Goga and D. Haziza.

High-dimensional convergence for model-assisted estimators ITACOSM 2022, Perugia, Italy. Joint work with C. Goga and D. Haziza.

Random forests imputation in surveys 2021 Joint Statistical Meetings, Seattle, USA (online). Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling Statistics 2021 Canada, Montréal, Canada (online). Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, England (online). Joint work with C. Goga and D. Haziza.

High-dimensional model-assisted estimation for survey data 2023 SSC Annual Meeting, Ottawa, Canada. Joint work with E. Eustache and D. Haziza.

Random forests in surveys: from model-assisted estimation to imputation Journées de Méthodologie Statistique de l'Insee (JMS 2022), Paris, France. Joint work with C. Goga and D. Haziza.

Random forests imputation in surveys Forum des Jeunes Mathématicien·ne·s, Besançon, France. Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling 11e Colloque International Francophone sur les Sondages, Brussels, Belgium. Joint work with C. Goga and D. Haziza. Presented with Camelia Goga.

Random forests imputation in surveys 11e Colloque International Francophone sur les Sondages, Brussels, Belgium. Joint work with C. Goga and D. Haziza.

Convergence rates of model-assisted estimators in high-dimensional settings 63rd ISI World Statistics Congress, The Hague, Netherlands (online). Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling Conference in honor of Fred Smith and Chris Skinner, Southampton, England (online). Joint work with C. Goga and D. Haziza.

High-dimensional asymptotics for model-assisted estimation 6e Journée “Probabilités et statistiques Besançon–Dijon”, Dijon, France. Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling 2021 SSC Annual Meeting, Ottawa, Canada (online). Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling 52es Journées de Statistique de la Société Française de Statistique, Nice, France (online). Joint work with C. Goga and D. Haziza.

Imputation and calibration reweighting for surveys with missing data Sixième Journée des Jeunes Chercheurs en Mathématiques de l'UBFC, Besançon, France.

Statistical learning for finite population sampling: some challenges Statistics Seminar, University of Winnipeg, Winnipeg, Canada.

Statistical learning for finite population sampling: some challenges Séminaire de Probabilités et Statistique, Université de Franche-Comté, Besançon, France.

Statistical inference in surveys with random forest imputed estimators Séminaire de Statistique, Université de Sherbrooke, Sherbrooke, Canada. Joint work with C. Goga and D. Haziza.

Statistical inference in surveys with random forest imputed estimators Centre de Recherches Mathématiques (CRM), Applied Mathematics Seminars, Montréal, Canada. Joint work with C. Goga and D. Haziza.

Statistical inference in the presence of imputed survey data through regression trees and random forests Bank of Canada, Ottawa, Canada. Joint work with C. Goga and D. Haziza.

Imputation par arbres de régression et forêts aléatoires en théorie des sondages Séminaire de l'Institut de Statistique de Neuchâtel, Neuchâtel, Switzerland. Joint work with C. Goga and D. Haziza.

Analysis of regression tree and random forest imputation in surveys Séminaire des doctorants du Laboratoire de Mathématiques de Besançon, Besançon, France. Joint work with C. Goga and D. Haziza.

Analysis of regression tree and random forest imputation in surveys Séminaire des doctorants de l'Institut de Mathématiques de Bourgogne, Dijon, France. Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling Séminaire de l'équipe Probabilités et Statistiques du Laboratoire de Mathématiques de Besançon, Besançon, France (online). Joint work with C. Goga and D. Haziza.

Model-assisted estimation through random forests in finite population sampling Séminaire des doctorants du Laboratoire de Mathématiques de Besançon, Besançon, France. Joint work with C. Goga and D. Haziza.