176 citations · 683 across the 36 of their papers we have counts for
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stat.CO2021
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…
stat.CO2021★ 1 cited
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…