Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution
{{output}}
Many modern statistical applications involve inference for complicated stochastic models for which the likelihood function is difficult or even impossible to calculate, and hence conventional likelihood-based inferential techniques cannot be used. In such sett... ...
