Jason McEwen
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M. Pereyra
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Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Proximal nested sampling with data-driven priors for physical scientists
Proximal nested sampling for high-dimensional Bayesian model selection
Quantifying uncertainty in high dimensional inverse problems by convex optimisation
Radio interferometric imaging with uncertainties
Sparse Bayesian mass-mapping with uncertainties
Sparse Bayesian mass-mapping with uncertainties: local credible intervals
Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
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