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alexpghayes.com

incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com

322 posts 4,374 followers 1,822 following

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submitted 9 days ago • 0 comments

I'm looking for methods to visualize signed graphs with ~100 nodes and lots of negative edges So far the best I've come across is in {signnet} but I'm hoping I can find some other options github.com/schochastics...

submitted 40 days ago • 1 comment

link 📈🤖 Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding (Zhang, Ding) Mediation analysis assesses the extent to which the exposure affects the outcome indirectly through a mediator and the extent to which it operates directly through other

submitted 51 days ago • 0 comments

Enjoying this conceptual paper on when/why predictive models can achieve causal goals

submitted 55 days ago • 0 comments

#dataviz #rstats Least squares by Springs: Here's a remarkable diagram, from 1932, illustrating a mechanical device to fit an exponential relation, y = A e^{-k x}, to data, here y= the milk yield of cows over x = 11 months. From: Gaines & Palfrey www.jstor.org/stable/1658643 ⬇️

submitted 56 days ago • 1 comment

So causalfusion.net and dagitty.net are great to check if controls C are sufficient to estimate the total effect of A on Y without needing to check backdoor paths yourself These tools can also algorithmically check if direct and indirect effects mediated by some M are identified!

submitted 69 days ago • 2 comments

Measuring the dynamical evolution of the United States lobbying network arxiv.org/abs/2503.11745

submitted 71 days ago • 0 comments

If you want to browse academic work without accidentally doom scrolling I cannot recommend this feed enough

submitted 76 days ago • 0 comments

Have anytime-valid methods made their way into empirical metascience yet? I'm thinking of them as a way to look for sampling to a foregone conclusion in published work

submitted 78 days ago • 1 comment

Learn how to use grouped tabsets and the Tabby extension in #Quarto to write documentation for both #RStats & #Python users! Read about grouped tabsets and the Tabby extension here: posit.co/blog/creatin...

submitted 79 days ago • 1 comment

Sunset across Lake Mendota in Madison

submitted 79 days ago • 0 comments

I want to understand recent developments in recsys land It seems like contrastive learning is the big thing now? Does this reflect an evolving class of models or just a slight evolution of negative sampling to address computational burden of large data?

submitted 86 days ago • 0 comments

Please apply, this project involves quite a bit of fun work on combining data from observational studies with randomized trials to estimate heterogeneous treatment effects!

submitted 87 days ago • 1 comment

HelioCampus is hiring! We have openings for data scientists and data analysts. www.heliocampus.com/company/care... I'm the hiring manager for the data scientist role, and we're specifically looking for someone with experience working with student data in the higher ed industry.

submitted 93 days ago • 1 comment

Does anyone have a favorite field experiment (or A/B test) with public data where there is outcome data over time, ideally something like daily data or even timestamped events? This is a common format in industry, but few public data sets look like this.

submitted 97 days ago • 2 comments

Enjoying Kino Zhao's recent HDSR paper on a way to think about statistical assumptions I'm also pleased that a stats venue is publishing this kind of work hdsr.mitpress.mit.edu/pub/qasl4fza...

submitted 106 days ago • 1 comment