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Sequential Implicit Sampling Methods for Bayesian Inverse Problems

Published in SIAM/ASA Journal on Uncertainty Quantification • Jan 1, 2017
Authors:
Chen Su
,
Xuemin Tu

Abstract

The solutionto the inverse problems under the Bayesian framework is given by a posterior probability density. For large-scale problems, sampling the posterior can be an extremely challenging task. Markov chain Monte Carlo provides a general way for sampling but it can be computationally expensive. G...

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