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20092026
most citedThe Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

139 citations · 616 across the 32 of their papers we have counts for

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Showing 2017 · stat.MEShow all

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stat.ME2017★ 53 cited

Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains

Joris Bierkens, Alexandre Bouchard-Côté, Arnaud Doucet +5

Piecewise Deterministic Monte Carlo algorithms enable simulation from a posterior distribution, whilst only needing to access a sub-sample of data at each iteration. We show how th…