Longitudinal Data Analysis Based on Bayesian Semiparametric Method

Longitudinal Data Analysis Based on Bayesian Semiparametric Method

A Bayesian semiparametric model framework is proposed to analyze multivariate longitudinal data. The new framework leads to simple explicit posterior distributions of model parameters. It results in easy implementation of the MCMC algorithm for estimation of model parameters and demonstrates fast co...

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Bibliographic Details
Main Authors: Guimei Jiao, Jiajuan Liang, Fanjuan Wang, Xiaoli Chen, Shaokang Chen, Hao Li, Jing Jin, Jiali Cai, Fangjie Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Axioms
Subjects:
Bayesian semiparametric method
covariance structure
Dirichlet process
linear mixed model
longitudinal data
MCMC algorithm
Online Access:https://www.mdpi.com/2075-1680/12/5/431

Internet

https://www.mdpi.com/2075-1680/12/5/431

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