Augmented SVGD with birth-death sampling tracks posterior sample changes as prior shape parameters vary in non-conjugate hierarchical models, enabling mode discovery during transitions from unimodal to multimodal posteriors.
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Sample continuation in Bayesian hierarchical model via variational inference
Augmented SVGD with birth-death sampling tracks posterior sample changes as prior shape parameters vary in non-conjugate hierarchical models, enabling mode discovery during transitions from unimodal to multimodal posteriors.