Classification and Bayesian Optimization for Likelihood-Free Inference

19 Feb 2015Michael U. GutmannJukka CoranderRitabrata DuttaSamuel Kaski

Some statistical models are specified via a data generating process for which the likelihood function cannot be computed in closed form. Standard likelihood-based inference is then not feasible but the model parameters can be inferred by finding the values which yield simulated data that resemble the observed data... (read more)

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