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Hi Cyril,
Wouldn't it more "correct" to use gamma distribution and normalization to sum 1 for HDIs to implement the Dirichlet distribution? instead of the current exponential distribution? I believe …
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re-hash the paper. maybe simplify so it doesn't need a pre-computed look up table.
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Dear author,
I found there might be a bug in Bayesian network's sample function.
![image](https://github.com/jmschrei/pomegranate/assets/135833420/94ce886f-01cd-4820-a2d2-3d3dcfbd997b)
For the abov…
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I went deep through the rabbit hole of uncertainty quantification in forecasting of neural networks. A faster method of quantifying uncertainty than what was proposed by [Lapeyrolerie et al, 2022](htt…
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Hello `causalpy` Community,
I would like to propose a new feature that can significantly improve the utility of `causalpy` for experimenters. It is about adding a method for Power Analysis within t…
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**Submitting author:** @matteodelucchi (Matteo Delucchi)
**Repository:** https://github.com/furrer-lab/abn
**Branch with paper.md** (empty if default branch):
**Version:** 3.1.0
**Editor:** @crvernon…
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Hi, I hope to use a time series data to fit a dynamic bayesian network. But after looking up the docs, I didn't find dynamic bayesian network class.
I'm wondering is there any easy method to extent t…
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Hi, thanks for your wonderful work. I would like to ask what each of the two files with output prefixes 'bayesian_' and 'prob_' represent. Which one is the parallax result.
![image](https://github.co…
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We could put this in a reference or notebox or something
https://www.andrewheiss.com/blog/2021/12/18/bayesian-propensity-scores-weights/
https://github.com/ajnafa/IPWBayes
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The current output would benefit from some streamlining.
```r
> performance::compare_performance(model, model2, model3)
# Comparison of Model Performance Indices
Name | Model | ELPD | …