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ABC Samplers

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arxiv 1802.09650 v1 pith:MNNXAVLR submitted 2018-02-26 stat.CO stat.MEstat.ML

Y. Fan , S. A. Sisson This is my paper · ORCID
classification stat.COstat.MEstat.ML
keywords samplersalgorithmsappearapproximateapproximationbayesiancarlochapter
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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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