Pseudo-Bayesian Classified Mixed Model Prediction

DOI10.1080/01621459.2021.2008944OpenAlexW3217567415MaRDI QIDQ6077568

Jiming Jiang, HaiQiang Ma

Publication date: 18 October 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/Pseudo-Bayesian_Classified_Mixed_Model_Prediction/17096629

zbMATH Keywords

predictionconsistencymatchingrandom effectsasymptotic optimalitynetwork communitiesclassified mixed model predictionpseudo-Bayesian

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Longitudinal data analysis using generalized linear models
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• Pattern recognition. An algorithmic approach.
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• Classified mixed logistic model prediction
• Mixed Models
• Small Area Estimation
• A nonparametric view of network models and Newman–Girvan and other modularities
• Large Sample Techniques for Statistics
• Classified Mixed Model Prediction
• Sumca: Simple, Unified, Monte-Carlo-assisted Approach to Second-Order Unbiased Mean-Squared Prediction Error Estimation
• Likelihood Ratio Tests for a Large Directed Acyclic Graph
• Asymptotic Analysis of Mixed Effects Models
• The Folded Normal Distribution: Accuracy of Estimation by Maximum Likelihood
• Hypothesis Testing for Automated Community Detection in Networks
• The Estimation of the Mean Squared Error of Small-Area Estimators
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