Synthia: multidimensional synthetic data generation in Python Article Swipe
David E. Meyer
,
Thomas Nagler
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21105/joss.02863
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21105/joss.02863
2016;Patki et al., 2016). As such, copula-based data generation models -probabilistic models that allow for the statistical properties of observed data to be modelled in terms of individual behavior and (inter-)dependencies (Joe, 2014) -have shown potential in several applications such as finance, data science, and meteorology (Kamthe et al.,
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Metadata
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- article
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- en
- Landing Page
- https://doi.org/10.21105/joss.02863
- https://joss.theoj.org/papers/10.21105/joss.02863.pdf
- OA Status
- diamond
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- 24
- References
- 17
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- OpenAlex ID
- https://openalex.org/W3204768095
All OpenAlex metadata
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https://openalex.org/W3204768095Canonical identifier for this work in OpenAlex
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https://doi.org/10.21105/joss.02863Digital Object Identifier
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Synthia: multidimensional synthetic data generation in PythonWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-09-24Full publication date if available
- Authors
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David E. Meyer, Thomas NaglerList of authors in order
- Landing page
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https://doi.org/10.21105/joss.02863Publisher landing page
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https://joss.theoj.org/papers/10.21105/joss.02863.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://joss.theoj.org/papers/10.21105/joss.02863.pdfDirect OA link when available
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Python (programming language), Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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24Total citation count in OpenAlex
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2025: 2, 2024: 3, 2023: 3, 2022: 7, 2021: 9Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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