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Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Kieran Drury, Martine J. Barons, Jim Q. Smith
https://arxiv.org/abs/2510.00334 https://

Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Many Bayesian network modelling applications suffer from the issue of data scarcity. Hence the use of expert judgement often becomes necessary to determine the parameters of the conditional probability tables (CPTs) throughout the network. There are usually a prohibitively large number of these parameters to determine, even when complementing any available data with expert judgements. To address this challenge, a number of CPT approximation methods have been developed that reduce the quantity a…