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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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| Published in: | Front Psychol |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8044365/ https://ncbi.nlm.nih.gov/pubmed/33868090 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2021.624588 |
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