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### Describe the bug
I was training a `Capacitron` model with my own dataset (`bn-BD`, 12-hour). Training started successfully, but it stopped after 27 epochs (around 5500 steps) with the following e…
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Hi again!
I am trying to simulate with uncertainty in the parameters (fixed effect, between subject variability and residual errors) based on a model fitted in NONMEM. I am following the NONMEM xpo…
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Hi,
I've been trying to fit a multivariate model in which some of the response distributions are mixture distributions for which theta is predicted, but there is a problem in the generated Stan cod…
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# Notebook proposal
**Title**: BVAR model for economists
## Why should this notebook be added to pymc-examples?
Economists seem to like BVAR and are looking for this example as a starting point. …
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As noted in gh-12839, there are a few issues that affect the documentation of several multivariate distributions.
- [x] Class documentation defines a parameter `x`, but `x` is not a parameter of th…
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Dear all,
My goal is to do parameter inference for the SIR-model, which I described with the following SDE system:
$$
\begin{cases}
dS(t) = -\alpha S(t)I(t)dt+\frac{1}{\sqrt{100}}\sqrt{\alpha …
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I am opening this up as an issue for the new annotation/segmentation workstream.
My plan is to implement a Hidden Markov Model (HMM) estimator for annotation of time series data. You can read more…
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Consider a mixture of 2-dimensional Gaussians in TensorFlow:
```python
ds = tf.contrib.distributions
cat = ds.Categorical(probs=[0.3, 0.2, 0.5])
comps = [ds.MultivariateNormalDiag(loc=[-5.0, -5.…
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# 📚 Documentation/Examples
I am trying to reproduce exactly what is described in this part of the GPyTorch documentation: [https://docs.gpytorch.ai/en/stable/examples/08_Advanced_Usage/Simple_GP_Re…
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## Description of your problem
The following code that worked in PyMC3 (and works in v4 if `Marginal` is used instead of `MarginalApprox`) is no longer functional:
```python
x = np.linspace(0.,…