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Found 2 papers, 1 papers with code
Bayesian score calibration for approximate models
In this paper we propose a new method for adjusting approximate posterior samples to reduce bias and produce more accurate uncertainty quantification.
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localisation
We describe an idealized low-dimensional summary statistic that is, in principle, suitable for marginal estimation.
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