102 citations · 277 across the 26 of their papers we have counts for
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A practical guide to pseudo-marginal methods for computational inference in systems biology
David J. Warne, Ruth E. Baker, Matthew J. Simpson
For many stochastic models of interest in systems biology, such as those describing biochemical reaction networks, exact quantification of parameter uncertainty through statistical…
Rapid Bayesian inference for expensive stochastic models
David J. Warne, Ruth E. Baker, Matthew J. Simpson
Almost all fields of science rely upon statistical inference to estimate unknown parameters in theoretical and computational models. While the performance of modern computer hardwa…
Vector operations for accelerating expensive Bayesian computations -- a tutorial guide
David J. Warne, Scott A. Sisson, Christopher Drovandi
Many applications in Bayesian statistics are extremely computationally intensive. However, they are often inherently parallel, making them prime targets for modern massively parall…
Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art
David J. Warne, Ruth E. Baker, Matthew J. Simpson
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling. Therefore, characterising stochastic effects in biochemical system…