@inproceedings{937c47d39020447b85fc2505afe22666,
title = "Supporting probability elicitation by sensitivity analysis",
abstract = "When building a Bayesian belief network, generally a huge nmnber of probabilities have to be assessed. We argue that the elicitation of these probabilities can be supported by iteratively performing sensitivity analyses on the network, starting with rough, initial assessments. Giving insight into which probabilities require high accuracy and which do not, performing a sensitivity analysis allows for focusing elicitation efforts on the more critical probabilities of the belief network.",
author = "Coup{\'e}, {Veerle M.H.} and {Van Der Gaag}, {Linda C.}",
year = "1997",
doi = "https://doi.org/10.1007/BFb0026797",
language = "English",
isbn = "3540635920",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "335--340",
editor = "Richard Benjamins and Enric Plaza",
booktitle = "Knowledge Acquisition, Modeling and Management - 10th European Workshop, EKAW 1997, Proceedings",
address = "Germany",
note = "10th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW 1997 ; Conference date: 15-10-1997 Through 18-10-1997",
}