13 citations · 29 across the 7 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…
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…
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…
Efficient multiply robust imputation in the presence of influential units in surveys
Sixia Chen, David Haziza, Victoire Michal
Item nonresponse is a common issue in surveys. Because unadjusted estimators may be biased in the presence of nonresponse, it is common practice to impute the missing values with t…
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…
Joint imputation procedures for categorical variables
Hélène Chaput, Guillaume Chauvet, David Haziza +2
Marginal imputation, which consists of imputing each item requiring imputation separately, is often used in surveys. This type of imputation procedures leads to asymptotically unbi…