58 citations · 65 across the 5 of their papers we have counts for
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stat.CO2015
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
Chris Sherlock, Andrew Golightly, Daniel A. Henderson
When conducting Bayesian inference, delayed acceptance (DA) Metropolis-Hastings (MH) algorithms and DA pseudo-marginal MH algorithms can be applied when it is computationally expen…
stat.CO2014★ 58 cited
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
Andrew Golightly, Daniel A. Henderson, Chris Sherlock
Recently-proposed particle MCMC methods provide a flexible way of performing Bayesian inference for parameters governing stochastic kinetic models defined as Markov (jump) processe…