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Hi, first of all, really nice package!
I'm running MCMC chains in Stan, since computing the gradient of my distribution is not trivial and Stan's autodiff does it for me.
I wanted then to use the …
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I've recently been thinking about the implementation details for both `@Samplers` and `@Processors`. In particular, under the current framework, each type of node, for example: `RealVariable`, `Unroot…
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As requested on the Slack I am posting my perspective as to how the docs could be improved.
The below is not complete, but these are the issues that I have come across when trying to implement an …
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Hi,
Thanks a lot for this amazing package!
I'm trying to use greta's mcmc on a Linux (Ubuntu) machine in RStudio 2022.01.0 Build 205 and R 4.1.3.
To check if everything works I've copied the exam…
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SMC doesn't record the time - adjust the SMC to record the same info as all the samplers.
In general, I think it would be good to have an extra slot in the samplers to record meta info, such as run…
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I'm not sure whether this fix should go in `openmmtools.mcmc` or here in YANK, but to avoid the issue where velocities are left at zero when sampler states are restored from disk, we should reassign v…
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Implement the following features:
Given an input, a model and N sets of params, create an output distribution using MCMC.
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I am trying to run some chains in parallel on a LSF cluster but I get the following error message
```
Initialising ensemble of 128 walkers...
Initialising ensemble of 128 walkers...
Traceback (mos…
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![trace](https://user-images.githubusercontent.com/3687111/83066964-c40fe480-a05d-11ea-91ae-ce5265955ea4.PNG)
![trace1](https://user-images.githubusercontent.com/3687111/83067760-21f0fc00-a05f-11ea-9…
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[prior-srcmchirp]
name = external_func_fromfile
module = pycbc.distributions.external
file_path = /home/QiYanQing/GWTC_reweight/Bayesian_inference_20230203/CE/GW190421_213856/prob_chirp_mass_source…