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If I use the following parameter dictionary:
```
params = {'Arrival_distributions': {'Class 0': [['Exponential', 3.0]]},
'Service_distributions': {'Class 0': [['Exponential', 5.0]]},
…
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Functionality to generate ODEProblem, SDEProblem and JumpProblem [present in Petri.jl](https://github.com/AlgebraicJulia/Petri.jl/blob/main/src/solvers.jl) are missing in AlgebraicPetri. Can this func…
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I wonder if it would be possible to add functionality for new or custom distributions. For example, I'd like to fit and test power law with exponential cutoff (like the Python package does), but also…
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The generalized gaussian and skewed exponential power distribution are currently implemented in `Distributions.jl`. Both are special cases of the asymmetric exponential power distribution which could …
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```
using Distributions
mmdist = MixtureModel(Exponential, [10_000, 1_000_000], [.5, .5])
quantile(mmdist, .999)
```
This seems to never return an answer. But `quantile(mmdist, .1)` seems to…
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Distributions to be covered
- Laplacian
- Gaussian
- Normal
- Exponential
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### 📚 The doc issue
The [distributions docs](https://pytorch.org/docs/stable/distributions.html) have grown to include many distributions, transforms, and constraints. The page is large and has becom…
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``` r
library(distributions)
#>
#> Attaching package: 'distributions'
#> The following objects are masked from 'package:stats':
#>
#> Gamma, quantile
#> The following object is masked fro…
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Is it possible to add exponential, smallest extreme value, normal, logistic AFT models in later releases.
Exponential distribution is a frequently used distribution type, and other distributions are…
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### Description
We are looking for help to implement inverse cumulative distribution (ICDF) functions for our distributions!
### How to help?
This PR should give a template on how to implem…