Matlatzinca

A PyBANSHEE-based graphical user interface for elicitation of non-parametric Bayesian networks from experts

Journal Article (2024)
Author(s)

G.W.F. Rongen (Pattle Delamore Partners Ltd., TU Delft - Hydraulic Structures and Flood Risk)

O. Morales-Napoles (TU Delft - Hydraulic Structures and Flood Risk)

Research Group
Hydraulic Structures and Flood Risk
DOI related publication
https://doi.org/10.1016/j.softx.2024.101693
More Info
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Publication Year
2024
Language
English
Research Group
Hydraulic Structures and Flood Risk
Volume number
26
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Abstract

This article describes the development of a GUI that addresses the challenge of eliciting dependencies between uncertain quantities elicited by experts. While software for eliciting univariate uncertainties is widely available, the mathematical complexity of multivariate dependence models makes direct elicitation difficult. To overcome this, we developed Matlatzinca,1 a GUI built on top of the Python module PyBANSHEE. The GUI facilitates the elicitation process and allows experts to model dependencies using a non-parametric Bayesian network without the need for ad hoc programming. A recent practical application shows that the developed GUI is a useful tool for performing dependence elicitations, highlighting the significance of the program for dependence assessment with expert judgment.

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