Predicting the multivariate zero-inflated counts: a novel model averaging method under Pearson loss

DOI10.1002/sim.10052zbMath1545.62428MaRDI QIDQ6618501

Yin Liu, Unnamed Author

Publication date: 14 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

frequentist model averaging\(K\)-fold cross-validation techniquemarginalized MZIP regression modelPearson loss criterion

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

This page was built for publication: Predicting the multivariate zero-inflated counts: a novel model averaging method under Pearson loss