Copula
Given two uniform marginals, we can apply the inverse cdf of a continuous distribution to form a new joint distribution.
Some examples in this notebook.

Uniform marginals
[[Gaussian]] Multivariate Normal Distribution Multivariate Gaussian distribution copula:

Normal, Normal
Some other examples:
- [[Normal]]
Normal Distribution
Gaussian distribution
and
[[Beta]]
Beta Distribution
Beta Distribution Interact Alpha Beta mode ((beta_mode)) median ((beta_median)) mean ((beta_mean)) ((makeGraph))
:Normal, Beta
- Gumbel and
[[Beta]]
Beta Distribution
Beta Distribution Interact Alpha Beta mode ((beta_mode)) median ((beta_median)) mean ((beta_mean)) ((makeGraph))
:Gumbel, Beta
- [[t distribution]]
t Distribution
t distribution
:t, t
Planted:
by L Ma;
References:
- Quant D. A Simple Introduction to Copulas. YouTube. 2021. Available: https://www.youtube.com/watch?v=WFEzkoK7tsE
- Wiecki T. An intuitive, visual guide to copulas — While My MCMC Gently Samples. In: While My MCMC Gently Samples [Internet]. 3 May 2018 [cited 6 Jan 2023]. Available: https://twiecki.io/blog/2018/05/03/copulas/
- SDV. Introduction to Copulas — Copulas 0.6.0 documentation. In: Copulas [Internet]. 2018 [cited 6 Jan 2023]. Available: https://sdv.dev/Copulas/tutorials/01_Introduction_to_Copulas.html
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Additional Double Backet Links:
Lei Ma (2023). 'Copula', Datumorphism, 01 April. Available at: https://datumorphism.leima.is/cards/statistics/copula/.