176 citations · 683 across the 36 of their papers we have counts for
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Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation
Thomas P Prescott, David J Warne, Ruth E Baker
Likelihood-free Bayesian inference algorithms are popular methods for calibrating the parameters of complex, stochastic models, required when the likelihood of the observed data is…
Measuring the accuracy of likelihood-free inference
Aden Forrow, Ruth E. Baker
Complex scientific models where the likelihood cannot be evaluated present a challenge for statistical inference. Over the past two decades, a wide range of algorithms have been pr…
Control of diffusion-driven pattern formation behind a wave of competency
Yue Liu, Philip K. Maini, Ruth E. Baker
In certain biological contexts, such as the plumage patterns of birds and stripes on certain species of fishes, pattern formation takes place behind a so-called "wave of competency…
Bayesian uncertainty quantification for data-driven equation learning
Simon Martina-Perez, Matthew J. Simpson, Ruth E. Baker
Equation learning aims to infer differential equation models from data. While a number of studies have shown that differential equation models can be successfully identified when t…