Automatic Posterior Transformation for Likelihood-Free Inference

17 May 2019David S. GreenbergMarcel NonnenmacherJakob H. Macke

How can one perform Bayesian inference on stochastic simulators with intractable likelihoods? A recent approach is to learn the posterior from adaptively proposed simulations using neural network-based conditional density estimators... (read more)

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