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Thank you for your pioneering work on reinforcement learning. I tried to run `rl-tools` on Windows 10 with MSVC compiler and successed after a few modifications.
There is a small problem about [ran…
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Page: https://chrispiech.github.io/probabilityForComputerScientists/en/part2/normal/
States the following:
>By definition a Normal has $E[X] = \mu$.
In fact this equality requires a proof. T…
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**Describe the bug**
A benchmark by Alexander Neumann (original issue reporter) showed that `std::normal_distribution` with `std::mt19937_64` was 4 times slower than `boost::normal_distribution` wi…
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Hello,
Any plans to add scipy.stats distributions to this package?
Normals, skewed normals, truncated normals etc
Thanks
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Please, create normal setup.py file and upload package to PYPI, for better using.
In setup.py you also can add ffmpeg dependency.
If you will need helps - just say.
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**Describe the bug**
Chauvenet's criterion should consider around 1 sample of a normal distribution as a outlier.
Here it is considering 30 to 40% percent of point to be outliers
**To Reprodu…
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At present, the mod appears to randomize sizes within the given range uniformly. It would be great to get an option to enforce a normal statistical distribution, making extreme outliers possible but …
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## DoD
- [x] Demo 1 of using gradient-based samplers to draw samples from a truncated normal distribution
- [x] Demo 2 of using gradient-based samplers to solve the simplest BIP problem with a trunca…
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1) [Uniform probability distribution](https://www.youtube.com/watch?v=aCW8wm6nrRw&list=PLIeGtxpvyG-KdqFkNrED9w8j9dEMMLj7e&index=1)
2) [A tour to normal distribution](https://www.youtube.com/watch?v=7…
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Wikipedia says to calculate the truncated normal pdf, you must divide the normal pdf by (sigma * prob_notcut), whereas it seems in the MLE notebook we divided by (prob_notcut). Is this a problem?
htt…