Posts
Series
Bayesian Statistics Series
The Bayesian Statistics Series are blogposts that walk you through the awesome homeworks in the Statistical Rethinking book, by Richard McElreath, and the classic Bayesian Data Analysis, by Gelman et. al. The code is all fully reproducible R Code.
Fat vs Thin tails and the different nature of risk
Following the work by Nassim Nicholas Taleb, this series of blogposts goes over his work showcasing his main results and intuition through code and visualizations.
Causal Inference Series
Following the work of Judea Pearl, I go over his main contributions to Causal Inference using code, a bit of math, and visualizations.
All blogposts in one place
No matching items