Approximate Bayesian Computation

What is ABC in Bayesian Statistics? Approximate Bayesian Computation (ABC) is an important class of methods in Bayesian Statistics used to approximate the posterior distribution. This approximation is done over a rejection scheme on simulations because the likelihood function is intractable. When the likelihood function is not available, it becomes very difficult to estimate the posterior distribution. ABC methods overcome this problem by generating simulations in order to approximate this dis

1 / 1