3 papers
stat.ME2026
In Search of the Most Balanced Sampling Design
Caren Hasler, Esther Eustache, Yves Tillé
Balanced sampling aims to select random samples in which the estimated totals of the auxiliary variables, weighted by the inverse of the inclusion probabilities, correspond as clos…
stat.ML2026
Consistency of the -Nearest Neighbor Regressor under Complex Survey Designs
Caren Hasler
We study the consistency of the -nearest neighbor regressor under complex survey designs. While consistency results for this algorithm are well established for independent and i…
stat.ME2025
Calibration with Bagging of the Principal Components on a Large Number of Auxiliary Variables
Caren Hasler, Arnaud Tripet, Yves Tillé
Calibration is a widely used method in survey sampling to adjust weights so that estimated totals of some chosen calibration variables match known population totals or totals obtai…