Approximate Bayesian Computation (ABC) is a likelihood‐free inference methodology that has revolutionised the way researchers tackle complex problems where the likelihood function is difficult or ...

Sedki, M., Pudlo, P. Efficient learning in Approximate Bayesian Computation. Nat Prec (2011). https://doi.org/10.1038/npre.2011.5962.1 ...

A bioengineering group is bringing the worlds of computational modeling and experimentation closer together by developing a methodology to help analyze the wealth of imaging data provided by ...

Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric (auxiliary) model that is both analytically and ...