Chimera - regular vines Python (4 to 8 nodes)

doi: 10.4121/20655120.v1
The doi 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: 10.4121/20655120
Datacite citation style:
't Hart, Marcel; Morales Napoles, Oswaldo; Rajabi, Mojtaba; Torres Alves, Gina (2023): Chimera - regular vines Python (4 to 8 nodes). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20655120.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
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keywords
Chimera, Library, Python, Vines
licence
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Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that the

number of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space of

regular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vines

on 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6

nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regular

vines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.

This dataset contain vine matrices in for Python 


history
  • 2023-04-28 first online, published, posted
publisher
4TU.ResearchData
format
Compressed python pickle file/pbz2
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering

DATA

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