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When writing custom distributions, it is often helpful to have numerically stable implementations of `log_diff_exp(a, b) := log(exp(a) - exp(b))` and particularly `log1m_exp(x) := log(1 - exp(x))`. Th…
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Stan is a probabilistic programming language. I will be discussing a bit about what is "Bayesian Inference" and demonstrate some examples using Stan.
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The link http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ is currently redirecting me to `http://ww17.bm4h.com/` instead. Did the DNS registration expire?
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NumPyro is quite a good package about probabilistic programming, I have seen there is a tutorial about AR(2).
Cause VAR is quite important in economics, wish you and your team could post a tutoria…
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The formula here:
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Chapter1_Introduction.ipynb#L575
does not appear in …
cebe updated
10 years ago
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Earlier today, Google announced TensorFlow Probability: a probabilistic programming toolbox for machine learning. The full text of the announcement is available on [Medium](https://medium.com/tensorfl…
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## Conference facts:
```
Name: bobkonf
Date: 15.03.2024
Location: Berlin
Topic:
- functional programming
- persistent data structures and databases
- event-based modelling and arch…
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I'm not super into the `OpenPP` name. How about calling this `Probabilistic.jl`?
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Hello,
I really like Figaro, thanks for it.
I use Figaro for several internal projects, I even got practical-probabilistic-programming from Manning :), but there are a few questions:
* Is this pro…
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We should be aware of https://github.com/psg-mit/probzelus-haskell, from Ben Sherman who was on the Reactive Probabilistic Programming paper. It's a Haskell implementation of their system. Looks like …