A rare event approach to high-dimensional approximate Bayesian computation

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A rare event approach to high-dimensional approximate Bayesian computation

Approximate Bayesian computation (ABC) methods permit approximate inference for intractable likelihoods when it is possible to simulate from the model. However they perform poorly for high dimensional data, and in practice must usually be used in conjunction with dimension reduction methods, resulti...

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Bibliographic Details
Main Authors:	Prangle, Dennis, Everitt, Richard G., Kypraios, Theodore
Format:	Article
Published:	Springer 2017
Subjects:	ABC Markov chain Monte Carlo Sequential Monte Carlo Slice sampling Infectious disease modelling
Online Access:	https://eprints.nottingham.ac.uk/44045/

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