54 citations · 78 across the 9 of their papers we have counts for
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stat.ME2026
Learned harmonic mean estimation of the marginal likelihood for multimodal posteriors with flow matching
Alicja Polanska, Jason D. McEwen
The marginal likelihood, or Bayesian evidence, is a crucial quantity for Bayesian model comparison but its computation can be challenging for complex models, even in parameters spa…
stat.ME2023★ 1 cited
Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Alicja Polanska, Matthew A. Price, Alessio Spurio Mancini +1
Computing the marginal likelihood (also called the Bayesian model evidence) is an important task in Bayesian model selection, providing a principled quantitative way to compare mod…