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

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

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...

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Bibliographic Details
Main Authors: Charisse Farr, Fabrizio Ruggeri, Kerrie Mengersen
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
bayesian networks
linear pooling
posterior pooling
prior pooling
wayfinding
expert opinions
Online Access:http://www.mdpi.com/1099-4300/20/3/209

Internet

http://www.mdpi.com/1099-4300/20/3/209

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