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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Bibliographic Details
Main Authors: Tom Edinburgh, Ari Ercole, Stephen Eglen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931113/?tool=EBI