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@yookoon Thank you for the interesting work and the code repository. We are trying to support your proposed method in our UQ-Library for Deep Learning called [Lightning-UQ-Box](https://github.com/ligh…
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Thank you for the latest version of the code release. When I actually trained and used different sampling strategies, I found that the effect of pyramid sampling is not as good as full_sequence_sampli…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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`routeSampler.py` considers the turn and edge counts to be certain. In practice, there is usually some uncertainty or error in detectors such as radar or induction loops.
It would be neat if we co…
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How would I calculate the FFT uncertainty based upon the sampling frequency and the number of samples. For our project, the number of samples is 128 and the sampling frequency is 2048. This would seem…
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* UltraNest version: 4.3.2
* Python version: 3.10.14
* Operating System: Ubuntu
I am trying to calculate the partition function of two particles interacting in the Lennard-Jones potential. I impl…
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### Describe the workflow you want to enable
We would like to add the possibility to plot sampling uncertainty on precision-recall and ROC curves.
### Describe your proposed solution
We (@m…
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Make a function to show the sensitivity of a model output on the parameters in the MCMC sample, as well as their contribution to the output uncertainty.
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Post-fit uncertainty bands are not correctly evaluated from the cov. matrix sampling for bins with high statistics and large lnN uncertainties, reported at [CMSTalk](https://cms-talk.web.cern.ch/t/pos…
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The base class should be an ecotype - which is one schedule with one SR
A population should consist of one or more ecotypes which have different schedules but the same SR
A meta population should c…