Bayesian Computation and Model Selection Without Likelihoods
Bayesian Computation and Model Selection Without Likelihoods
Until recently, the use of Bayesian inference was limited to a few cases because for many realistic probability models the likelihood function cannot be calculated analytically. The situation changed with the advent of likelihood-free inference algorithms, often subsumed under the term approximate Bayesian computation (ABC). A key innovation was the …