Supporting probability elicitation by sensitivity analysis

Veerle M.H. Coupé, Linda C. Van Der Gaag

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationKnowledge Acquisition, Modeling and Management - 10th European Workshop, EKAW 1997, Proceedings
EditorsRichard Benjamins, Enric Plaza, Richard Benjamins
PublisherSpringer Verlag
Pages335-340
Number of pages6
ISBN (Print)3540635920, 9783540635925
DOIs
Publication statusPublished - 1997
Event10th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW 1997 - Sant Feliu de Guixols, Spain
Duration: 15 Oct 199718 Oct 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1319
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW 1997
CountrySpain
CitySant Feliu de Guixols
Period15/10/199718/10/1997

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