Model-assisted estimation in high-dimensional settings for survey data

DOI10.1080/02664763.2022.2047905arXiv2012.07385MaRDI QIDQ6157152

Unnamed Author, David Haziza, Camelia Goga

Publication date: 19 June 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.07385

zbMATH Keywords

xgboost ridge regression Lasso random forest elastic net design consistency

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Automated Selection of Post-Strata using a Model-Assisted Regression Tree Estimator
Nonparametric additive model-assisted estimation for survey data
Penalized calibration in survey sampling: design-based estimation assisted by mixed models
Model assisted survey sampling
Local polynomial regresssion estimators in survey sampling.
Asymptotic efficiency of the calibration estimator in a high-dimensional data setting
Survey design asymptotics for the model-assisted penalised spline regression estimator
Applied Predictive Modeling
Calibration and Partial Calibration on Principal Components
Building Consistent Regression Trees From Complex Sample Data
Model-assisted estimation for complex surveys using penalised splines
Multipurpose Estimation from Unbalanced Samples
Calibration Estimators in Survey Sampling
Robust Models in Probability Sampling
Generalized Regression Estimators with High-Dimensional Covariates
Model-Assisted Estimation of Forest Resources With Generalized Additive Models
Regularization and Variable Selection Via the Elastic Net
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Réduction de la variance dans les sondages en présence d'information auxiliarie: Une approache non paramétrique par splines de régression
Efficient Estimation of Non-Linear Finite Population Parameters by Using Non-Parametrics
Nonparametric Model Calibration Estimation in Survey Sampling
A Generalization of Sampling Without Replacement From a Finite Universe
Random forests

This page was built for publication: Model-assisted estimation in high-dimensional settings for survey data