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On the use of a penalized quasilikelihood information criterion for generalized linear mixed models

Hui, Francis


Information criteria are commonly used for joint fixed and random effects selection in mixed models. While information criteria are straightforward to implement, a major difficulty in applying them is that they are typically based on maximum likelihood estimates, but calculating such estimates for one candidate mixed model, let alone multiple models, presents a major computational challenge. To overcome this hurdle, we study penalized quasilikelihood estimation and use it as the basis for...[Show more]

CollectionsANU Research Publications
Date published: 2021
Type: Journal article
Source: Biometrika
DOI: 10.1093/biomet/asaa069
Access Rights: Open Access


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