Carlos Iguaran
charleemos.bsky.social
Carlos Iguaran
@charleemos.bsky.social
Computer Scientist.
Statistical computing | Bayes | Probabilistic programming
Open Source Contributor @ BlackJax
ciguaran.github.io

Reposted by Carlos Iguaran
🤖 This is reminiscent of the idea of bias-variance trade off in ML: it’s not enough to just be unbiased, you also need low variance (consistency).
October 23, 2025 at 4:48 PM
Reposted by Carlos Iguaran
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu/2025/10/11/7...
7 reasons to use Bayesian inference! | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
October 11, 2025 at 1:54 PM
Reposted by Carlos Iguaran
The ArviZ core devs have done tremendous work on an improved API with a lot of novel improvements. They have put together a great migration guide: python.arviz.org/en/stable/us...

If you are an ArviZ user please take a look at it and provide feedback. Open source is all about the community 🫶
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
July 9, 2025 at 5:29 PM
Reposted by Carlos Iguaran
We’re in the final stretch of our Fuel the Future campaign! Your donation today helps fund the tools that power scientific discovery, make research more reproducible, teaching more accessible, and programming more intuitive. Help us finish strong. numfocus.org/fuel-the-fut...
July 9, 2025 at 5:55 PM
Reposted by Carlos Iguaran
Solve a simpler version of the problem.
statmodeling.stat.columbia.edu/2025/03/27/s...
Solve a simpler version of the problem. | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
March 28, 2025 at 10:47 AM