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Amortized Bayesian Multilevel Models

Habermann, Daniel et al.
arXiv (All) · Papers
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computation
Multilevel models (MLMs) are a central building block of the Bayesian workflow. They enable joint, interpretable modeling of data across hierarchical levels and provide a fully probabilistic quantification of uncertainty. Despite their well-recognized advantages, MLMs pose significant computational
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