Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework

13 May 2015 Cabras Stefano Nueda Maria Eugenia Castellanos Ruli Erlis

Approximate Bayesian Computation (ABC) is a useful class of methods for Bayesian inference when the likelihood function is computationally intractable. In practice, the basic ABC algorithm may be inefficient in the presence of discrepancy between prior and posterior... (read more)

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  • STATISTICS THEORY
  • METHODOLOGY
  • STATISTICS THEORY