Highly Influential

@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} }

- Published 2018 in Entropy
DOI:10.3390/e20030209

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

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