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Machine Learning Methods for Estimation in Official Statistics
2025/08/28 by
M. Giovanna Ranalli
· 2 citations
paper
· doi:10.1177/0282423x251347540
Citations
Scalable Generalised Accuracy Estimation for Multisource Register-based Official Statistics
Leveraging Machine Learning for Official Statistics: A Statistical Manifesto
Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the COVID‐19 pandemic in Spain
Optimal Conformal Prediction for Small Areas
Flexible domain prediction using mixed effects random forests
Design-unbiased statistical learning in survey sampling
Proxy expenditure weights for Consumer Price Index: Audit sampling inference for big data statistics
Calibration Estimators in Survey Sampling
Cited by
The Interplay between Bayesian Inference and Conformal Prediction
Responsible AI and Algorithmic Adoption in Methodology Development for National Statistical Offices