BibTeX
N/A
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
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 …
Cited by
Link to paper
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 …