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## Description of the problem
In the current implementation of `pymc.sampling_jax.sample_numpyro_nuts()`, only some of the arguments for the Numpyro NUTS sampler are available to the user because a…
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Previously we changed the sampling function to use the array 'vargroup', instead of referencing 'nFRBs', 'sensitivity', 'R', 'beams', 'tpb', and 'flux' directly. The previous form created an issue wit…
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Hi @ptiede, thanks for your work on Comrade.jl - I enjoyed testing out the examples and the documentation is very thorough. I have a few minor comments that I hope can be useful:
* I think the pape…
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Song Y, Ermon S. [Generative modeling by estimating gradients of the data distribution](https://proceedings.neurips.cc/paper/2019/file/3001ef257407d5a371a96dcd947c7d93-Paper.pdf).
Yang Song. [Generat…
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**A minimal, self-contained, and reproducible example.**
```python
import pymc as pm
import pymc.sampling_jax
import arviz as az
coords = {"param": ["a", "b"]}
with pm.Model(coords=coords) as …
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Hi there, I'm encountering an issue in Chapter 06 at Code Block 6.14, when it comes to the section of the code where we're using `generate_gam_ar_latent()`:
```
mcmc_samples, sampler_stats = run_m…
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I am trying to run a time-consuming MCMC sampler. I am wondering if it is possible to resume the training after I save and reload the MCMC object.
To be specific, in my case, I need to run many MC…
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NOTE: This is in the Tensorflow 2 development branch (https://github.com/greta-dev/greta/pull/534)
4 errors for the distributions, `multinomial`, `dirichlet`, and `categorical`:
``` r
devtools:…
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For educational purposes, I modified your HMM example to work as an even simpler Markov chain. I decided to really live the Haskell lifestyle and try to define a distribution over lazy infinite lists.…
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Hi
This issue is based on extensive discussion that took place here: [Turing Samples Slowly #1851](https://github.com/TuringLang/Turing.jl/issues/1851). One of the key observations was that:
1. …