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We propose a posterior for Bayesian Likelihood-Free Inference (LFI) based on generalized Bayesian inference.
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A kernel test of goodness of fit
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Robust Bayes estimation using the density power divergence
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General Bayesian updating and the loss-likelihood bootstrap
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Robust Bayesian synthetic likelihood via a semi-parametric approach
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MMD-Bayes: Robust Bayesian estimation via maximum mean discrepancy
B.-E. Chérief-Abdellatif and P. Alquier · 2020
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Batch simulations and uncertainty quantification in gaussian process surrogate approximate Bayesian computation
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Hypocoercivity properties of adaptive langevin dynamics
B. Leimkuhler, M. Sachs, and G. Stoltz · 2020
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Approximate Bayesian computation via the energy statistic
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Nuzz: numerical zig-zag sampling for general models
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