Bayesian model selection for multilevel models using integrated likelihoods

Multilevel linear models allow flexible statistical modelling of complex data with different levels of stratification. Identifying the most appropriate model from the large set of possible candidates is a challenging problem. In the Bayesian setting, the standard approach is a comparison of models u...

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Detalles Bibliográficos
Autores principales: Edinburgh, Tom, Ercole, Ari, Eglen, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931113/
https://www.ncbi.nlm.nih.gov/pubmed/36791095
http://dx.doi.org/10.1371/journal.pone.0280046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931113/
https://www.ncbi.nlm.nih.gov/pubmed/36791095
http://dx.doi.org/10.1371/journal.pone.0280046

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