Approximate Bayesian computation (ABC) constitutes a family of likelihood-free methods that have emerged as a cornerstone in statistical inference for complex models where evaluation of the likelihood ...

Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...