Title
Alternative Initial Probability Tables for Elicitation of Bayesian Belief Networks
Author
Phillipson, F.
Langenkamp, P.N.
Wolthuis, R.
Publication year
2021
Abstract
Bayesian Belief Networks are used in many fields of application. Defining the conditional dependencies via conditional probability tables requires the elicitation of expert belief to fill these tables, which grow very large quickly. In this work, we propose two methods to prepare these tables based on a low number of input parameters using specific structures and one method to generate the table using probability tables of each relation of a child node with a certain parent. These tables can be used further as a starting point for elicitation.
Subject
Bayesian Belief Networks
Expert elicitation
Conditional probability
To reference this document use:
http://resolver.tudelft.nl/uuid:05b95318-48b0-478f-a082-1f0c51d334fb
TNO identifier
957913
Source
Mathematical and Computational Applications, 26 (26)
Document type
article