Cyrus Samii
@cdsamii.bsky.social
4.2K followers 1.5K following 440 posts
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
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cdsamii.bsky.social
👀 (given the remarkable robustness of BART as a static prediction method)
statme-bot.bsky.social
Christoph Breunig, Ruixuan Liu, Zhengfei Yu: Robust Semiparametric Inference for Bayesian Additive Regression Trees https://arxiv.org/abs/2509.24634 https://arxiv.org/pdf/2509.24634 https://arxiv.org/html/2509.24634
cdsamii.bsky.social
Very well said. Re (2), a version of this is in the Korn and Graubard "Analysis of Health Surveys" textbook that explains how, under misspecification (and all models are somewhat misspecified), the weighted (population) fit is what we want rather than the sample fit.
Reposted by Cyrus Samii
polanalysis.bsky.social
Currently in FirstView: “Generalizing Trimming Bounds for Endogeneously Missing Outcome Data Using Random Forests." @cdsamii.bsky.social, Ye Wang, @jlzhou.bsky.social‬ present a partial identification approach that avoids strong assumptions. This is illustrated using a simulation and replication.
cdsamii.bsky.social
Agreed — nice round up of very well informed perspectives. I found Raleigh’s analysis especially convincing but all perspectives were thought provoking.
Reposted by Cyrus Samii
olihanney.bsky.social
Back to teaching or studying economics at university this September?

@voxdev.bsky.social has tons of useful resources for university economics courses - I have included some examples in this thread. 1/n
cdsamii.bsky.social
Skepticism toward vax and modern medicine is fairly widespread publicly as I’ve seen, and is tied up with antipathy toward “experts” (“do your own research” a la Aaron Rodgers), which universities embody. There is the woke issue sure, but there is also antipathy toward expertise to contend with.
cdsamii.bsky.social
Let’s take the area where there has been the most heat: vaccinations. The MRNA vax researcher doesn’t need to change what they do. It’s a problem of educating the public that this is useful stuff. The question is how to do that effectively.
cdsamii.bsky.social
Seems that a field that has taken an especially large hit in the current context is biomedical sciences, and this because, it seems, MAGA rejected the expert guidance on COVID. These rules leave many unanswered questions for that field, no?
Reposted by Cyrus Samii
pengzell.bsky.social
WE ARE HIRING! 2 Lecturers in Quantitative Social Science. Want a friendly interdisciplinary department in one of the world's most vibrant cities? This just might be for you.

Apply by: 10 Oct

www.ucl.ac.uk/work-at-ucl/...
cdsamii.bsky.social
I agree with comments here emphasizing Trump’s vengeance on the “medical establishment” after feeling that it conspired during COVID to unseat him. Would be nice if nurses and doctors generated a groundswell of alarm in their personal social networks about the dangers.
cdsamii.bsky.social
Montiel Olea has a few really nice papers on design from a decision theoretic perspective.
cdsamii.bsky.social
Anna Wilke and I have a paper (soon on Arxiv) that I can send on design diversification from minmax regret perspective. We were inspired by Manski and papers on experimental design like Banerjee et al. and Azevedo et al.

www.aeaweb.org/articles?id=...

www.journals.uchicago.edu/doi/abs/10.1...
University of Chicago Press Journals: Cookie absent
www.journals.uchicago.edu
cdsamii.bsky.social
Isn't this "generalization"?
cdsamii.bsky.social
(The tortured fit of a global polynomial)
cdsamii.bsky.social
For your weekend read I highly recommend this article on the Tampa Bay Rays and the thankless pursuit of excellence:

www.nytimes.com/2025/08/06/m...
Is He Baseball’s Most Brilliant Owner, or a Failure?
www.nytimes.com
cdsamii.bsky.social
👀
paperposterbot.bsky.social
link 📈🤖
A General Design-Based Framework and Estimator for Randomized Experiments (Harshaw, S\"avje, Wang) We describe a design-based framework for drawing causal inference in general randomized experiments. Causal effects are defined as linear functionals evaluated at unit-level potential outcom
cdsamii.bsky.social
We had a wee contribution on this for randomized experiments (cute by Abadie et al.). The idea extends by analogy to observational studies: cyrussamii.com/wp-content/u...
cyrussamii.com
cdsamii.bsky.social
One observes only a sample of the potential outcomes. Sampling error based standard errors provide for conservative inference for such uncertainty. Surprisingly, this was not widely known until fairly recently. (Cf the Abadie et al paper and refs therein.)
Reposted by Cyrus Samii
cdsamii.bsky.social
🚨Call for submissions (by Aug 1)🚨
NYU "Data Science Frontiers: Society and Politics" conference. Held at NYU’s New York campus Oct 15-17. Submit a paper or extended abstract. Full details here: nyuad.my.salesforce-sites.com/NYEvents/ape...
Travel subsidies for presenters. Please forward!
Data Science Frontiers:
nyuad.my.salesforce-sites.com
cdsamii.bsky.social
The program with links to papers can be found at the link above.
cdsamii.bsky.social
Polmeth 2025 kicks off today at Emory. I’ll be presenting work on inference for group interaction experiments (eg, group training, experimental games, deliberation experiments, etc.) and coauthor Sandy Gordon will introduce our new data authentication tool, Data-NoMAD

polmeth.emory.edu/index.html
42nd Annual Meeting of the Society for Political Methodology | Emory University | Atlanta GA
polmeth.emory.edu