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I am generating datasets for the metric distribution with 0.5 Msun extra boundaries in mass for the training data only.
We need to see if that solves our problem.
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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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I recently found myself wanting a truncated normal distribution (e.g. a univariate normal which has parameters for specifying minimum and/or maximum values).
Is this a sufficiently common need to …
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noted in the README:
```
2. from XdY import XdY
3. generate one six-sided die: a = XdY( [1,6] )
4. generate three eight-sided dice added together: b = XdY( [3,8] )
5. compare them:
5.1. a == 3 ... a …
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I am interested in implementing the `quantile()` method for `MvNormal`, as I need to be able to compute the quantiles of `MvNormal` (so that I can ultimately implement a truncated multivariate normal …
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Hi,
I want to perform a simple inference of a Multivariate Bernouilli (dimension D) with multiple chains. The code below works and correctly infers the parameters value for an unique chain.
I sus…
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During training my model, I am facing some issues to stop training on right time.
![image](https://user-images.githubusercontent.com/29056416/158352804-ba7c8239-0121-44ab-95a8-0484c6337429.png)
*…
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Distributions.jl is a high-quality implementation of many commonly used distributions, benefiting from continuous contributions and peer review from the members of the Julia community.
While it is …
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# 🐛 Bug
LKJCholeskyFactorPrior fails on the GPU. This also takes out GPU support for botorch's `KroneckerMultiTaskGP` @Balandat
## To reproduce
** Code snippet to reproduce **
```python
im…
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While testing different momentum distributions for the `PreconditionedHamiltonianMonteCarlo` kernel, it appeared that it is impossible to run with XLA a chain with the momentum distribution `Multivari…