부산대학교 도서관

This work aims to present a simple explanation about the ABC, Approximate Bayesian Computation or likelihood-free methods, a sampler algorithm class made to sampling from a posteriori distribution π(θ|x) in an independent way of the likelihood function. Along of this paper is to present a couple of ABC algorithms such as the ABC Rejection and the ABC MCMC. These algorithms are also applied to the beta model and to the normal-gamma model, in order to generate an univariate posterior distribution and a bivariate distribution, respectively. [ABSTRACT FROM AUTHOR]