Use of ridge calibration method in predicting election results

DOI10.1007/s42952-023-00254-zMaRDI QIDQ6581404

Mingue Park, Yohan Lim

Publication date: 30 July 2024

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

zbMATH Keywords

generalized regression estimatorpublic opinion pollspenalized calibrationridge calibrationelection polls

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Another look at ridge calibration
• Minimum MSE regression estimator with estimated population quantities of auxiliary variables
• Penalized calibration in survey sampling: design-based estimation assisted by mixed models
• Multipurpose Estimation from Unbalanced Samples
• Calibration Estimators in Survey Sampling
• Ridge Regression Estimation for Survey Samples
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Calibrating non-probability surveys to estimated control totals using LASSO, with an application to political polling

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