28 citations · 163 across the 23 of their papers we have counts for
3 papers · 1 filter
Proximal nested sampling with data-driven priors for physical scientists
Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price +2
Proximal nested sampling was introduced recently to open up Bayesian model selection for high-dimensional problems such as computational imaging. The framework is suitable for mode…
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…
Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
Jason D. McEwen, Christopher G. R. Wallis, Matthew A. Price +1
We resurrect the infamous harmonic mean estimator for computing the marginal likelihood (Bayesian evidence) and solve its problematic large variance. The marginal likelihood is a k…