13 citations · 27 across the 8 of their papers we have counts for
8 papers
Agnostic Model-Assisted Estimation with Machine Learning for Survey Data
Ziming An, Mehdi Dagdoug, David Haziza +1
Model-assisted estimation uses prediction rules to improve the efficiency of estimators of finite population parameters while retaining design-based inference. Although flexible pr…
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…
Model-assisted estimation in high-dimensional settings for survey data
Mehdi Dagdoug, Camelia Goga, David Haziza
Model-assisted estimators have attracted a lot of attention in the last three decades. These estimators attempt to make an efficient use of auxiliary information available at the e…
Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison
Mehdi Dagdoug, Camelia Goga, David Haziza
Nonparametric and machine learning methods are flexible methods for obtaining accurate predictions. Nowadays, data sets with a large number of predictors and complex structures are…
Model-assisted estimation through random forests in finite population sampling
Mehdi Dagdoug, Camelia Goga, David Haziza
In surveys, the interest lies in estimating finite population parameters such as population totals and means. In most surveys, some auxiliary information is available at the estima…