[DRAFT] Approximate Bayesian Computation (ABC): parameter inferencing without likelihood
In many mathematical biology modelling, we eventually encounter the problem of coupling experimental data with simulation data. In many of these cases, we also care about uncertainty quantification of our model parameters in prediciton experimental results. Once approach for parameter inference is Bayesian inference. However, in many modelling senarios the likelihood is intractable meaning the likelihood is unavailable in closed form, or where evaluation of the likelihood is infeasible. Hence, we turn to approximating of the posterior distribution using a technique called approximate Bayesian computation (ABC)....