Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution
(2013)
Journal Article
© 2013, The Author(s). 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 techni... Read More about Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution.