Balancing the Elicitation Burden and the Richness of Expert Input When Quantifying Discrete Bayesian Networks
Author:
Affiliation:
1. Applied Statistics & Risk Unit The University of Warwick Coventry UK
2. Bayesian Intelligence Pty Ltd Australia
3. Centre of Excellence for Biosecurity Risk Analysis The University of Melbourne Melbourne, VIC Australia
Funder
Engineering and Physical Sciences Research Council
Publisher
Wiley
Subject
Physiology (medical),Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/risa.13772
Reference18 articles.
1. Assessment of the response of pollinator abundance to environmental pressures using structured expert elicitation;Barons M. J.;Journal of Apicultural Research,2018
2. A structured expert judgement elicitation approach: How can it inform sound intervention decision making to support household food security?;Barons M. J.;Public Health Nutrition,2021
3. Parameter adjustment in Bayes networks. The generalized noisy OR–gate
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