Web page https://users.aalto.fi/~ave/
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
www.aalto.fi/en/open-posi...
www.aalto.fi/en/open-posi...
Some of these would be good for Bayesian flavored PIs!
Some of these would be good for Bayesian flavored PIs!
I really enjoyed teaching nowcasting and forecasting with Nick Reich last year. This year, we have split the course into two linked courses: first delays, Rt, and nowcasting, and then short-term forecasting.
I really enjoyed teaching nowcasting and forecasting with Nick Reich last year. This year, we have split the course into two linked courses: first delays, Rt, and nowcasting, and then short-term forecasting.
solomon.quarto.pub/dbda2
#rstats
1/8
solomon.quarto.pub/dbda2
#rstats
1/8
Enjoy, and happy new year, my dear Bayesians 🖖
They fail when designs stop learning.
Episode 148 of Learning Bayesian Statistics explores adaptive & platform trials and why "wait for the final analysis" isn’t neutral in ALS or pandemics.
🔗 learnbayesstats.com/episode/148-...
#newEpisode #bayes
Enjoy, and happy new year, my dear Bayesians 🖖
We present Anna Dreber (Stockholm School of Economics) as the first keynote speaker
More information can be found here:
We present Anna Dreber (Stockholm School of Economics) as the first keynote speaker
More information can be found here:
🎓 Professorship affiliation at partner university in 🇫🇮
💻 Access to world-class computing infrastructure @lumi-supercomputer.eu
🧠 Europe's best AI + machine learning researchers as colleagues in the @ellis.eu network.
Join us! www.ellisinstitute.fi/PI-recruit-2...
🎓 Professorship affiliation at partner university in 🇫🇮
💻 Access to world-class computing infrastructure @lumi-supercomputer.eu
🧠 Europe's best AI + machine learning researchers as colleagues in the @ellis.eu network.
Join us! www.ellisinstitute.fi/PI-recruit-2...
2025 was quite packed, I gave talks about:
- the age-period-cohort problem
- making rigorous causal inference more mainstream
- mediation analysis
- marginaleffects
- causal graphs (x10)
If you're curious, check out my slides here: juliarohrer.com/resources/
2025 was quite packed, I gave talks about:
- the age-period-cohort problem
- making rigorous causal inference more mainstream
- mediation analysis
- marginaleffects
- causal graphs (x10)
If you're curious, check out my slides here: juliarohrer.com/resources/
www.aalto.fi/en/open-posi...
www.aalto.fi/en/open-posi...
#hiring
#hiring
lindeloev.github.io/tests-as-lin...
#statsky
lindeloev.github.io/tests-as-lin...
#statsky
statmodeling.stat.columbia.edu/2025/12/11/a...
statmodeling.stat.columbia.edu/2025/12/11/a...
statmodeling.stat.columbia.edu/2025/12/11/s...
statmodeling.stat.columbia.edu/2025/12/11/s...
Please spread the word!
discourse.mc-stan.org/t/stancon-20...
Please spread the word!
discourse.mc-stan.org/t/stancon-20...
Complementary strengths of the Neyman-Rubin and graphical causal frameworks
https://arxiv.org/abs/2512.09130