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20222025
most citedSwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

1 citations · 1 across the 3 of their papers we have counts for

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stat.ML2024

Scalable Monte Carlo for Bayesian Learning

Paul Fearnhead, Christopher Nemeth, Chris J. Oates +1

This book aims to provide a graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC) algorithms, as applied broadly in the Bayesian computational context.…

stat.ME2024

Metropolis--Hastings with Scalable Subsampling

Estevão Prado, Christopher Nemeth, Chris Sherlock

The Metropolis-Hastings (MH) algorithm is one of the most widely used Markov Chain Monte Carlo schemes for generating samples from Bayesian posterior distributions. The algorithm i…