Fitting a deeply nested hierarchical model to a large book review dataset using a moment-based estimator

DOI10.1214/19-AOAS1251zbMath1435.62428arXiv1806.02321OpenAlexW2989966794MaRDI QIDQ2291515

Ningshan Zhang, Patrick O. Perry, Kyle Schmaus

Publication date: 31 January 2020

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

Full work available at URL: https://arxiv.org/abs/1806.02321

zbMATH Keywords

hierarchical modelmethod of momentsgeneralized linear mixed modelrecommender system

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Generalized linear models (logistic models) (62J12)

Uses Software

• lme4

Cites Work

• Unnamed Item
• Efficient moment calculations for variance components in large unbalanced crossed random effects models
• Bias reduction of maximum likelihood estimates
• ESTIMATION AND INFERENCE FOR VERY LARGE LINEAR MIXED EFFECTS MODELS
• Fast Moment-Based Estimation for Hierarchical Models

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