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.
Sparse reconstruc- tions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors
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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.