The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/21922026

Paul Koot; Miguel Mendoza Lugo; Morales Napoles, Oswaldo; Paprotny, Dominik; Elisa Ragno et. al. (2023): PyBanshee, Python-based open source of the MATLAB toolbox BANSHEE. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21922026.v1

Usage statistics

Categories

• Statistics
• Applied Mathematics
• Interdisciplinary Engineering

Keywords

Bayesian network models Gaussian copula Python package

Licence

GPL-3.0

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Paul Koot, Miguel Mendoza Lugo , Oswaldo Morales Napoles, Dominik Paprotny , Elisa Ragno, Daniël T.H. Worm

PyBanshee is a Python-based open source of the MATLAB toolbox BANSHEE.

 Bayesian Networks (BNs) are probabilistic, graphical models for  representing complex dependency structures. They have many applications  in science and engineering. Their particularly powerful variant –  Non-Parametric BNs – are  implemented as a Matlab toolbox and an  open-access scriptable code, in the form of a Python-based package. 

History

• 2023-01-23 first online, published, posted

Publisher

4TU.ResearchData

Format

.py scripts files

Associated peer-reviewed publication

PyBanshee version (1.0): A Python implementation of the MATLAB toolbox BANSHEE for Non-Parametric Bayesian Networks with updated features

References

• https://github.com/mike-mendoza/py_banshee

Organizations

TU Delft, Faculty of Civil Engineering & Geosciences, Department of Hydraulic Engineering; Potsdam Institute for Climate Impact Research, Research Department Transformation Pathways; TNO, Cyber Security & Robustness, The Netherlands; Nelen & Schuurmans B.V., The Netherlands