2020
DOI: 10.1016/j.softx.2020.100588
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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks

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Cited by 19 publications
(9 citation statements)
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“…As stated in the previous section, Matlatzinca (v.1.0.0) was used to retrieve the conditional rank correlations. The software was developed by researchers of the TU Delft, The Netherlands, and is strongly based on PyBANSHEE (v.1.0), a Python-based open-source implementation of the MATLAB toolbox BANSHEE (v.1.3) [37][38][39]. Matlatzinca is used to schematize and quantify a dependence model, specifically the GCBN, and is accessible on https://github.com/grongen/Matlatzinca (accessed on 26 April 2023).…”
Section: Softwarementioning
confidence: 99%
“…As stated in the previous section, Matlatzinca (v.1.0.0) was used to retrieve the conditional rank correlations. The software was developed by researchers of the TU Delft, The Netherlands, and is strongly based on PyBANSHEE (v.1.0), a Python-based open-source implementation of the MATLAB toolbox BANSHEE (v.1.3) [37][38][39]. Matlatzinca is used to schematize and quantify a dependence model, specifically the GCBN, and is accessible on https://github.com/grongen/Matlatzinca (accessed on 26 April 2023).…”
Section: Softwarementioning
confidence: 99%
“…NPBNs are well described by Hanea et al (2015). The NPBN in this research is implemented using the Python toolbox BANSHEE (Paprotny et al, 2020;Koot et al, 2023). NPBNs have been used in different fields of application such as hydrology (Paprotny and Morales Napoles, 2017) and flood risk (Paprotny et al, 2021;Couasnon et al, 2018).…”
Section: Literature Overviewmentioning
confidence: 99%
“…Total vehicle length is node X i,ni+1 while the interaxle distances are X i,ni+1+j . The model is implemented in MATLAB with the toolbox BANSHEE (Paprotny et al, 2020). The full model (Figure 1) consists of 324 nodes and 2136 arcs.…”
Section: Npbn Wim Modelmentioning
confidence: 99%