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Thanks for the great resources in this repo! I was wondering if it's possible to modify the likelihood functions for your univariate distributions so that parameters are vectors instead of reals, for …
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I would like to contribute the complex univariate and multivariate normal distributions (https://github.com/scipy/scipy/issues/7212). However, the distribution infrastructure does not support complex…
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Currently sampling from univariate, multivariate and matrix-variate normal distributions has inconsistent behavior for different `size` arguments. Ensure that all sampling from random variables follow…
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Copulas version: 0.5.0
Python version: 3.7.4
I hope to customize a Gaussian copula by using the from_dict() function.
To test out this feature, I am trying to generate a Gaussian copula with a…
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Hi @csgillespie thanks first of all for this awesome package!
Related to #17 and maybe #63 , is it possible to have an option to right-truncate the data, say by having a `setXmax` method for each …
hrlai updated
2 years ago
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For future flexibility we might want to make all priors submodels that produce vectors of the right length and that have a default mode that wraps the input prior from a user. This would make it easie…
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**What would you like to submit?** (put an 'x' inside the bracket that applies)
- [ ] question
- [x] bug report
- [ ] feature request
**Issue description**
The following test will fai…
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Flag naive implementations (like incomplete beta derivatives) in the manual.
Ideally, characterize at what points in the domain functions are stable for.
Make sure that iterative functions have fi…
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Hey,
Thanks for this great addition to the ecosystem !
From Distribution.jl, it seems like the first argument to the fit_mle function should be the distributions type and not an instance of the…
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This code produces an error
`
d = Skellam(500, 600); pdf(d, 10)
`
`
ERROR: AmosException with id 2: overflow.
Stacktrace:
[1] _besseli(::Float64, ::Complex{Float64}, ::Int32) at /Users/ke…