https://myriad-staging.bgs.ac.uk/api.php?action=feedcontributions&feedformat=atom&user=Jnuriac 2026-04-16T22:35:33Z User contributions MediaWiki 1.42.3 https://myriad-staging.bgs.ac.uk/index.php?title=VineCopulas&diff=2896 2025-04-09T12:25:03Z

<p>Jnuriac: Created page with &quot;{{MHRA |Publication Year=2024 |Access=Open |Link=https://joss.theoj.org/papers/10.21105/joss.06728 |Author(s)=Judith N. Claassen, Elco E. Koks, Marleen C. de Ruiter, Philip J. Ward, and Wiebke S. Jäger |Organisation(s)=Vrije Universiteit Amsterdam |Description=VineCopulas is a Python package for bivariate and vine copula modelling developed by Claassen et al. The package contains functionality to easily fit data to different copula families, generate random samples from...&quot;</p> <hr /> <div>{{MHRA<br /> |Publication Year=2024<br /> |Access=Open<br /> |Link=https://joss.theoj.org/papers/10.21105/joss.06728<br /> |Author(s)=Judith N. Claassen, Elco E. Koks, Marleen C. de Ruiter, Philip J. Ward, and Wiebke S. Jäger<br /> |Organisation(s)=Vrije Universiteit Amsterdam<br /> |Description=VineCopulas is a Python package for bivariate and vine copula modelling developed by Claassen et al. The package contains functionality to easily fit data to different copula families, generate random samples from a (vine-) copula and also create conditional samples. The Python is pip downloadable (https://pypi.org/project/VineCopulas/), and has an extensive documentation (https://vinecopulas.readthedocs.io/en/latest/?badge=latest). Additionally, issues and recommendations to continuously improve and update the package can be suggested through GitHub (https://github.com/VU-IVM/VineCopulas).<br /> |Technical Considerations=This package is coded in Python<br /> |Key Words=Copulas, Statistics, Dependency<br /> }}<br /> [[File:Logo2.png|thumb|right]]</div>

Jnuriac https://myriad-staging.bgs.ac.uk/index.php?title=File:Logo2.png&diff=2894 2025-04-09T12:22:23Z

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