Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling

Bayesian non-parametric (BNP) modeling has been developed and proven to be a powerful tool to analyze messy data with complex structures. Despite the increasing popularity of BNP modeling, it also faces challenges. One challenge is the estimation of the precision parameter in the Dirichlet process m...

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Detalles Bibliográficos
Autores principales: Tong, Xin, Ke, Zijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044365/
https://www.ncbi.nlm.nih.gov/pubmed/33868090
http://dx.doi.org/10.3389/fpsyg.2021.624588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044365/
https://www.ncbi.nlm.nih.gov/pubmed/33868090
http://dx.doi.org/10.3389/fpsyg.2021.624588

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