haubur
haubur.bsky.social
haubur
@haubur.bsky.social
be gud, get gud
bayesian statistics • computing • complex systems
Reposted by haubur
posteriordb is a database with models, data, and reference posteriors, making it easier to test and compare inference. v1.0.0 recently released discourse.mc-stan.org/t/posteriord.... Jakob Torgander presents proceedings.mlr.press/v258/magnuss... May 5 in AISTATS Oral sess. 5 and in Poster sess. 3
Posteriordb v 1.0.0 released
Hi everyone, Good news on posteriordb! We (@Bob_Carpenter , @paul.buerkner , @avehtari @Lu.Zhang and @Jakob_Torgander and me) have now published a paper on posteriordb at AISTATs. The paper can be f...
discourse.mc-stan.org
May 4, 2025 at 5:29 PM
Reposted by haubur
I'm looking forward to speaking about AI for Climate 🌎 with some successes and warnings at the Allen Institute for Artificial Intelligence (AI2)'s "Environmental AI seminar" at 1pm PST in Seattle.

It will be live streamed (buff.ly/J9jfh5z) and show up later on youtube 📽️ .
April 23, 2025 at 7:03 PM
Reposted by haubur
While I'm traveling next month I'll be dropping by Imperial College London to give a talk on narratively generative modeling, www.imperial.ac.uk/events/19314.... In person attendance is limited to the Imperial community but there will be a livestream open to the public.
AI: Cutting-Edge Overviews and Tutorial Series with Dr Michael Betancourt
In this talk, Dr Michael Betancourt will explore generative modelling.
www.imperial.ac.uk
April 23, 2025 at 3:52 PM
Reposted by haubur
I have learned that some people have still not heard the Good News about Hamiltonian Monte Carlo. My gentle animated interactive explanation: elevanth.org/blog/2017/11...
Markov Chains: Why Walk When You Can Flow?
In 1989, Depeche Mode was popular, the first version of Microsoft Office was released, large demonstrations brought down the wall separating East and West Germany, and a group of statisticians in the ...
elevanth.org
April 18, 2025 at 9:09 AM
Reposted by haubur
I'm teaching a grad seminar this winter on Prediction for Decision-making. We'll look at what it means to make good predictions for decision-making from various angles, with a focus on decisions for & about people.

Reading list: statmodeling.stat.columbia.edu/2024/12/06/n...

Suggestions welcome!
New Course: Prediction for (Individualized) Decision-making | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
December 6, 2024 at 4:45 PM
Reposted by haubur
Heuristic appeals to Bayesian reasoning, especially the phrase “updating my prior”, seem like they are becoming increasingly popular these days. Formal Bayesian inference, however, is more than just updating a prior model. 🧵 time.
December 3, 2024 at 3:32 PM