5 citations · 7 across the 7 of their papers we have counts for
7 papers
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…
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…
Randomized Principal Component Ensembles for High-Dimensional Calibration
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…
Quasi Model-Assisted Estimators under Nonresponse in Sample Surveys
Caren Hasler, Esther Eustache
In the presence of auxiliary information, model-assisted estimators rely on a working model linking the variable of interest to the auxiliary variables in order to improve the effi…
Inference from Sampling with Response Probabilities Estimated via Calibration
Caren Hasler
A solution to control for nonresponse bias consists of multiplying the design weights of respondents by the inverse of estimated response probabilities to compensate for the nonres…
Nonparametric imputation method for nonresponse in surveys
Caren Hasler, Radu V. Craiu
Many imputation methods are based on statistical models that assume that the variable of interest is a noisy observation of a function of the auxiliary variables or covariates. Mis…
Balanced -nearest neighbor imputation
Caren Hasler, Yves Tillé
In order to overcome the problem of item nonresponse, random imputation methods are often used because they tend to preserve the distribution of the imputed variable. Among the ran…