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Профиль

alex hayes

Профиль Vively

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

I'll be at New Researchers Conference 2026 this weekend chatting about some recent work on estimating peer effects in noisy networks! arxiv.org/abs/2605.03204

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Some LaTeX resources I'd appreciate: - A modern guide to best LaTeX practices - A concise guide to mathematical writing - Typst <-> LaTeX conversion gotchas - Claude skills for all of the above

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@grimalkina.bsky.social i love your learning-opportunities claude skill -- do you know of anything similar for web chat interfaces? the web interface is much nicer than clis when discussing math since it renders latex i'm curious about user prompts both for myself and also to suggest to students!

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i'm looking for interesting teaching examples where (1) random effects/multilevel models predict better than glmnet (2) glmnet predicts better than random effects #rstats #statistics

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new print! keith levin and i came with a new approach to estimating peer effects in noisy, low-rank networks i'm very excited about our idea because the approach works with a variety of different noise processes arxiv.org/abs/2605.03204

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what's the recommended workflow for checking the accessibility of a #quarto website? currently i'm setting format: html: axe: output: document in _quarto.yml and checking every page visually and it's not particularly efficient #rstats

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Claude skills for reviewing manuscripts that I would appreciate: - stylistic advice for math writing (punctuating eqs, etc) - academic tropes (gaps, see quote) and linguistic oddities (gerund form) to avoid - structure of a good abstract/introduction - etc

Thomas Dietterich

I encourage everyone to delete the phrase "To address this gap" in their papers. Change "To address this gap, we introduce..." with just "We introduce". All of this "gap" terminology is such a cliche. (looking at a lot of arXiv papers today)

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once again learning the painful lesson that i need to pick a color scheme and set the correct page size before polishing my tikz figure 🥲

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Is there an #rstats package to visualize how many observations get dropped by each exclusion criteria? Looking for a nice visual way to summarize a sample

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Quick gist to pull census crosstabs: - age x sex x educ - age x sex x race - sex x race x educ to use during post-stratification gist.github.com/alexpghayes/...

tidycensus-pull-mrp-crosstabs.RGitHub Gist: instantly share code, notes, and snippets.gist.github.comStephen Wild

Maybe this? www.shirokuriwaki.com/ccesMRPprep/

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