Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC

Marko Järvenpää, Jukka Corander

We present a framework for approximate Bayesian inference when only a limited number of noisy log-likelihood evaluations can be obtained due to computational constraints, which is…