4 papers
High-Dimensional Variance Estimation for the Generalized Regression Estimator
Kalil Bouhadra, Mehdi Dagdoug
In survey sampling, the goal is to estimate finite population parameters such as totals, means, and proportions. At the estimation stage, it is common to have access to auxiliary i…
Machine learning methods for finite population parameter estimation in survey sampling
Mehdi Dagdoug, David Haziza
This pedagogical review examines the use of machine learning methods in finite-population inference for survey sampling, with an emphasis on design-based validity and statistical i…
Variable Selection for Linear Regression Imputation in Surveys
Ziming An, Mehdi Dagdoug, David Haziza
Survey sampling is concerned with the estimation of finite population parameters. In practice, survey data suffer from item nonresponse, which is commonly handled through imputatio…
An RKHS Perspective on Tree Ensembles
Mehdi Dagdoug, Clement Dombry, Jean-Jil Duchamps
Random Forests and Gradient Boosting are among the most effective algorithms for supervised learning on tabular data. Both belong to the class of tree-based ensemble methods, where…