Estimation and prediction of a generalized mixed-effects model with \(t\)-process for longitudinal correlated binary data

DOI10.1007/S00180-020-01057-0zbMath1505.62087OpenAlexW3130974980MaRDI QIDQ2032235

Ming He, Xin Liu, Jian-Qing Shi, Chun-Zheng Cao

Publication date: 16 June 2021

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

Full work available at URL: https://doi.org/10.1007/s00180-020-01057-0

zbMATH Keywords

predictionrobustnessfunctional datarandom-effectsheavy-tailed process

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Generalized linear models (logistic models) (62J12)

Cites Work

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• Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data
• EM-Type algorithms for heavy-tailed logistic mixed models
• An efficient MCEM algorithm for fitting generalized linear mixed models for correlated binary data

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