Approximate Bayesian Computation (ABC) methods have become a “mainstream” statistical technique in the past decade, following the realisation by statisticians that they are a special type of non-parametric inference. In this survey of ABC methods, we focus on the recent literature, building on the previous survey of Marin et al. Stat Comput 21(2):279-291, 2011, [39]. Given the importance of model choice in the applications of ABC, and the associated difficulties in its implementation, we also give emphasis to this aspect of ABC techniques.
CITATION STYLE
Robert, C. P. (2016). Approximate bayesian computation: A survey on recent results. In Springer Proceedings in Mathematics and Statistics (Vol. 163, pp. 185–205). Springer New York LLC. https://doi.org/10.1007/978-3-319-33507-0_7
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