Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap

8 Feb 2019 Edwin Fong Simon Lyddon Chris Holmes

Increasingly complex datasets pose a number of challenges for Bayesian inference. Conventional posterior sampling based on Markov chain Monte Carlo can be too computationally intensive, is serial in nature and mixes poorly between posterior modes... (read more)

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