### Approximate Bayesian Computation

**(ABC)**
(shortcut method in Bayesian statistics)

**Approximate Bayesian Computation** (**ABC**) is
a particular mathematical method that trades away complete accuracy
of the inference for shorter computation.
Bayesian statistics involves considerable computation, in some
cases offering advantages to such a tradeoff. ABC is useful
both for exploring models (dedicating resources to a quick evaluation
of a larger number of models) and for handling inferences due to
intractable models. ABC is one particular technique for carrying
out such a "fast but imperfect" bayesian inference:
it is not the only one but is perhaps a current favorite.

(*mathematics,statistics*)
**Further reading:**

http://en.wikipedia.org/wiki/Approximate_Bayesian_computation

http://www.maths.lu.se/fileadmin/maths/forskning_research/InferPartObsProcess/abc_slides.pdf

https://darrenjw.wordpress.com/2013/03/31/introduction-to-approximate-bayesian-computation-abc/

http://membres-timc.imag.fr/Olivier.Francois/CsilleryTREE10.pdf

https://michaelgutmann.github.io/assets/slides/Gutmann-2016-05-16.pdf

https://www.math.u-bordeaux.fr/MAS10/DOC/PDF-PRES/Francois.pdf

Index