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Approximate Bayesian computation (ABC): advances and questions

Approximate Bayesian computation (ABC): advances and questions

This video was recorded at International Society for Bayesian Analysis (ISBA) Lectures on Bayesian Foundations, Kyoto 2012. The lack of closed formlikelihoods has been the bane of Bayesian computation for many years and, prior to the introduction of MCMC methods, a strong impediment to the propagation of the Bayesian paradigm. We are now facing models where an MCMC completion of the model towards closed-formlikelihoods seems unachievable and where a further degree of approximation appears unavoidable. In this tutorial, I will present the motivation for approximative Bayesian computation (ABC) methods, the various implementations found in the current literature, as well as the inferential, rather than computational, challenges set by these methods.

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