13 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
A Debiased Machine Learning Single-Imputation Framework for Item Nonresponse in Surveys
Mehdi Dagdoug, David Haziza
Machine-learning methods offer flexible alternatives to parametric models for imputing missing survey values. However, using their predictions in the customary imputed estimator do…
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…
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…