Figure 1.
Parameter estimation by Approximate Bayesian Computation: a conceptual overview.
Figure 2.
A dynamic bistable hidden Markov model.
Table 1.
Example of ABC rejection algorithm.
Figure 3.
Posterior of θ obtained in the example (red), compared with the true posterior distribution (black), and ABC simulations with large n.
The use of the insufficient summary statistic ω introduces a bias, even when requiring ε = 0 (light green).
Table 2.
Potential risks and remedies in ABC-based statistical inference.
Table 3.
Software incorporating ABC.