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We recommend reading through this before contributing to PyMC.
## New Contributors to PyMC
Are you new to contributing to PyMC? If so, we have some resources to get you started.
1. Learn mor…
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Pra que serve
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Still working through the paper's details (which I really like), but here are some quick comments.
- I think Figure 1 needs official axis labels. I would call the y-axis latency instead of time, since…
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# Description
We (the pyhf core dev team) propose the following outline for an interface library for probabilistic modeling in HEP that exists as part of the ecosystem described in @lukasheinrich's…
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Thank you for your repo. I meet with some problems reading the codes and the paper.
Q1. In `fd_waterbird.py`, I can't find the code coresponding to $P(R|X)$. It seems that you are simply dropping s…
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- Implement the DaySim method of first modeling arrival and departure time at primary activity, then work outwards for intermediate stops, rather than the CT-RAMP method of departure time from home an…
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Here is a [sample file](https://my.pcloud.com/publink/show?code=XZEBqQ7Z4cUCeaBDkDfDE9rYMcIvojSEaFCV). It has 4 highlights and comments on them, made by 3 different editors: adobe reader and XoDo (and…
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Link: [Arxiv](https://arxiv.org/pdf/1907.04202.pdf)
Problem:
> Probabilistic ensembles with trajectory sampling (PETS) is a leading type of MBRL, which employs Bayesian inference to …
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**Is your feature request related to a problem? Please describe.**
- Currently there are different ion channel modeling approaches available
- Including HH-style and Markov models
- Each appr…
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# Bayesian Foward Modeling Inference Challenge
We provide a forward model from cosmology to lensing observables, your mission, if you decide to accept it, is to retrieve the best Bayesian posterior…
EiffL updated
2 years ago