April 17, 2022

Contents

# Piou-piou, a nano PPL 🐤

Pioupiou is a nano probabilistic programming language for Python: define and simulate probabilistic models, then use the generated data as you see fit!

Pioupiou, a nano PPL. By Sébastien Boisgérault
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>>> import pioupiou as pp
>>> X, E = pp.Uniform(0.0, 1.0), pp.Normal(0.0, 0.01)
>>> Y = 0.5 * X + 1.0 + E
>>> omega = pp.Omega(1000) # 1000 samples
>>> x, y = X(omega), Y(omega)
>>> x
array([6.36961687e-01, ..., 3.80007897e-01])
>>> y
array([1.09588258, ..., 1.14366864])

# Jacques Harthong – Probabilités & Statistiques

I am trying to preserve the open-source book of Jacques Harthong (coauthor of the famous “Intuitionnisme 84” text) because its sources are difficult to find on the Internet since his death. As far as I know, the paperback book is also out of print.

Probabilités et Statistiques (🇫🇷)
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# How to Become A Bayesian

A nice article to get started with Bayesian data analysis.

How to become a Bayesian in eight easy steps: An annotated reading list. By A. Etz, Q. F. Gronau, F. Dablander, P. A. Edelsbrunner and B. Baribault
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