• Corpus ID: 250643920

Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference

@inproceedings{Dong2022ExpertEA,
  title={Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference},
  author={Jiayuan Dong and Jiankan Liao and Xun Huan and Daniel Cooper},
  year={2022}
}
Bayesian inference allows the transparent communication of uncertainty in material flow analyses (MFAs), and a systematic update of uncertainty as new data become available. However, the method is undermined by the difficultly of defining proper priors for the MFA parameters and quantifying the noise in the collected data. We start to address these issues by first deriving and implementing an expert elicitation procedure suitable for generating MFA parameter priors. Second, we propose to learn the… 

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