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Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation

TP Prescott, DJ Warne, RE Baker - arXiv preprint arXiv:2112.11971, 2021 - arxiv.org
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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 …

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@misc{prescott2021efficient,
      title={Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation}, 
      author={Thomas P Prescott and David J Warne and Ruth E Baker},
      year={2021},
      eprint={2112.11971},
      archivePrefix={arXiv},
      primaryClass={stat.CO}
}

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