Ontology highlight
ABSTRACT:
SUBMITTER: Mengersen KL
PROVIDER: S-EPMC3557074 | biostudies-literature | 2013 Jan
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20130107 4
Approximate Bayesian computation has become an essential tool for the analysis of complex stochastic models when the likelihood function is numerically unavailable. However, the well-established statistical method of empirical likelihood provides another route to such settings that bypasses simulations from the model and the choices of the approximate Bayesian computation parameters (summary statistics, distance, tolerance), while being convergent in the number of observations. Furthermore, bypa ...[more]