Matlatzinca

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

Journal article (2024)

Authors

G. Rongen Pattle Delamore Partners Ltd., Hydraulic Structures and Flood Risk
Oswaldo Morales-Napoles Hydraulic Structures and Flood Risk
Research Group
Hydraulic Structures and Flood Risk
More Info
expand_more

Published Date

2024

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Hydraulic Structures and Flood Risk

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.

Files

1-s2.0-S2352711024000645-main.... (pdf)
(pdf | 1.03 Mb)
Unknown license