78 citations · 290 across the 25 of their papers we have counts for
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stat.ME2023
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…
stat.ME2021★ 21 cited
Proximal nested sampling for high-dimensional Bayesian model selection
Xiaohao Cai, Jason D. McEwen, Marcelo Pereyra
Bayesian model selection provides a powerful framework for objectively comparing models directly from observed data, without reference to ground truth data. However, Bayesian model…