Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model

@article{Farr2018PriorAP,
  title={Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model},
  author={Charisse Farr and Fabrizio Ruggeri and Kerrie L. Mengersen},
  journal={Entropy},
  year={2018},
  volume={20},
  pages={209}
}
The use of expert knowledge to quantify a Bayesian Network (BN) is necessary when data is not available. This however raises questions regarding how opinions from multiple experts can be used in a BN. Linear pooling is a popular method for combining probability assessments from multiple experts. In particular, Prior Linear Pooling (PrLP), which pools… CONTINUE READING