 Approximate Bayesian computation

Approximate Bayesian Computation (ABC) is a computational method used in statistics for performing Bayesian inference when the likelihood function of the observed data is intractable or difficult to compute. It is particularly useful in scenarios where we have complex models or simulations, such as in population genetics, ecology, and systems biology. ### Key Concepts of ABC: 1. **Bayesian Framework**: ABC operates within the Bayesian framework, which incorporates prior beliefs about parameters and updates these beliefs based on observed data.