166 citations · 615 across the 26 of their papers we have counts for
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stat.CO2022
Scalable couplings for the random walk Metropolis algorithm
Tamás P. Papp, Chris Sherlock
There has been a recent surge of interest in coupling methods for Markov chain Monte Carlo algorithms: they facilitate convergence quantification and unbiased estimation, while exp…
stat.CO2022
Accelerating inference for stochastic kinetic models
Tom E. Lowe, Andrew Golightly, Chris Sherlock
Stochastic kinetic models (SKMs) are increasingly used to account for the inherent stochasticity exhibited by interacting populations of species in areas such as epidemiology, popu…
stat.ML2022★ 1 cited
Centered plug-in estimation of Wasserstein distances
Tamás P. Papp, Chris Sherlock
The plug-in estimator of the squared Euclidean 2-Wasserstein distance is conservative, however due to its large positive bias it is often uninformative. We eliminate most of this b…