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@yabebalFantaye
Hello, I want to run the examples.py code to understand how MCEvidence works but I get some errors I dont understand. In particular I am interested in emcee chains, so it apears the…
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I don't think any of the MCMC tests use a model with RHSonly nodes
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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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Hi,
first thanks for making this PyMC implementation of the MMSB available! It is very helpful to get started with implementing latent space models in PyMC.
I have downloaded the code and tried to r…
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Something I often find useful when writing my own samplers is to write the output directly to disk in a streaming (on-line) fashion.
It might sound silly, but I've worked in places where forced sy…
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**Describe the bug**
This is the strangest thing and I haven't been able to entirely work out what's going on but perhaps y'all have thoughts!
When using Google colab, I install numpyro with `--no…
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Hey, I worked briefly on this project a few years back looking at some ABC methods but essentially ran out of time and the code never made it to a production standard and performed fairly poorly. I've…
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The thin argument in the samplers is not properly passed on, e.g.
```
library(BayesianTools)
ll
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Currently, only internal calculations of the MCMC samplers use parallelization, the nrChains call is not automatically parallelized.
The current workaround for a slow model, running 3 chains is
…
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#### Summary:
The number of log prob gradient evaluations per sample is one greater than the reported `n_leapfrog` for that sample.
This does not need to be so; the gradient for the starting point w…