Approximate Bayesian Computation for Biological Science

Abstract

Approximate Bayesian computation (ABC) provides us a rigorous tool to perform parameter inference for models without an easily accessible likelihood function. Here we give a short introduction to ABC, focusing on applications in biological science. Furthermore, we introduce users to a Python suite implementing ABC algorithms, with optimal use of high performance computing facilities.