The ABCs of Approximate Bayesian Computation

Bayesian statistics are methods that allow for the systematic updating of prior beliefs in the evidence of new data [1]. The fundamental theorem that these methods are built upon is known as Bayes' theorem. A conclusion reached on the basis of evidence and reasoning [2]. If we infer the value of a given parameter we use information available to us to deduce what the most likely value of that parameter is. Scientists quantify their uncertainty in their inferences using probabilities.