ABC Samplers

Published 26 Feb 2018 in stat.CO, stat.ME, and stat.ML | (1802.09650v1)

Abstract: This Chapter, "ABC Samplers", is to appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and algorithms used to sample from the ABC approximation to the posterior distribution, including methods based on rejection/importance sampling, MCMC and sequential Monte Carlo.

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