Prefer a chat interface with context about you and your work?
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation
Approximate Bayesian computation (ABC) is an increasingly popular method for likelihood-free parameter inference in systems biology and other fields of research, as it allows analyzing complex stochastic models. However, the introduced approximation error is often not clear. It has been shown that ABC actually gives exact inference under the implicit …