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stat.ME2022
Flexible Marginal Models for Dependent Data
Glen McGee, Alex Stringer
Models for dependent data are distinguished by their targets of inference. Marginal models are useful when interest lies in quantifying associations averaged across a population of…
stat.ME2022★ 5 cited
Asymptotics of numerical integration for two-level mixed models
Alex Stringer, Blair Bilodeau, Yanbo Tang
We study mixed models with a single grouping factor, where inference about unknown parameters requires optimizing a marginal likelihood defined by an intractable integral. Low-dime…