Comments (1)
Hey ! No, I have not taken the time to do this kind of benchmarking yet, what function are you particularly after ? I am more versed in R than Matlab, but if you have anything specific in mind, I could help you set it up.
I am guessing that in several cases, e.g. high dimensional archimedean copulas, the approach taken here will outperform the one in R.
In any case, I would love to know, indeed. Of you happen to run into things that could be faster please tell me, we obviously have a performance ambition here.
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Related Issues (20)
- [Bug] Empirical Copula HOT 2
- Fix type parameters of each copula consistently HOT 1
- [Bug] Frank Copula when parameter is negative HOT 6
- [New copulas] Extreme values copulas
- Add generic coherence check for archimedeans
- Move archimedean generators to their own structs.
- problem with Copula Frank samples HOT 5
- Inverse Gaussian Copula HOT 2
- Gumbel with parameter > 10
- [Interface] Clarify properties of several copulas
- Fix broken kendall tau on GumbelBarnettCopula and InvGaussianCopula HOT 11
- Doubt about the Williamson transform HOT 3
- [Bug] Kendall's tau for TCopula & non-archimedeans more generally HOT 9
- [Internals] move to FrailtyGenerator
- [Docs] Convert docstring references to the right format
- [New copulas] Vines Copulas
- [Fitting] Implement more fitting procedures
- Design automatic soundness test for all copulas.
- Add a precompile workflow
- [Bug] RafteryCopula broken tests HOT 15
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