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Our [`basics.Rev`](https://github.com/revbayes/revbayes/blob/master/tests/test_basics/scripts/basics.Rev) test script shows that at least for several basic math distributions (uniform, exponential, no…
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MWE:
```julia
using Bijectors, Distributions
dist = MixtureModel(MvNormal, [(ones(2), 1), (2 .* ones(2), 1)])
x = rand(dist)
b = bijector(dist)
```
Error:
```
ERROR: MethodError: n…
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The `logp` of several multivariate distributions does not work (or is not tested) for arbitrarily batched dimensions. Some cases I could confirm include:
- [x] MvNormal - #6897
- [x] MvStudentT #…
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Problem appears upstream to Distributions.jl, see https://github.com/JuliaStats/Distributions.jl/issues/650
The following code:
```
using Mamba
dist = MixtureModel([
MvNormal([0,0], hcat(…
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The main blocker is https://github.com/JuliaStats/Distributions.jl/issues/436. It's hard to test when random code is not reproducible.
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### Issue Description
I'm trying to use `infer_discrete` for a model (code snippet below) which has local latent variable (`locs`) that depends on discrete variable (`assignment`). This leads to an e…
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have created a mixture model example for the Balls in urn example
[Ipython notebook example here ](https://github.com/deebuls/bayespy/blob/mixtureModelIpythonExample/doc/source/examples/ipython/Mix…
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### Describe the issue
I am training a neural network using Pytorch where I leverage the [Beta distribution](https://pytorch.org/docs/stable/_modules/torch/distributions/beta.html#Beta) to sample a…
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I am trying to fit various HMM classes (LinearRegressionHMM, or GaussianHMM) to my data but it does not let me pass `num_states=1`. For `num_states > 2`, everything works as expected. I wanted to know…
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We need to implement gradients of log partition functions for speed purposes. This is a relatively straightforward task that requires taking derivatives. It needs to be done for the entire list of dis…