Sebas Teran Hidalgo @steranhidalgo
I use data to sell used cars. Interested in machine learning, causal inference, survival analysis, optimization, R, C++ and Python. seborinos.github.io Manhattan, NY Joined August 2017-
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Sebas Teran Hidalgo retweeted
📢 Excited to announce the first of a series of tutorials for #spatial #datascience with #rstats! ✨Making maps with R ✨🌍💻📊 🔗 paulamoraga.com/tutorial-maps/ #gischat @rstats4ds @RosanaFerrero @IsabellaGhement
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Sebas Teran Hidalgo retweeted
Today, students in Tennessee protested at the state Capitol to demand stronger gun regulations after 6 people—including 3 children—were murdered at the Covenant School in Nashville.
Sebas Teran Hidalgo retweeted
With great sadness we share the passing of Dr. Chirayath Suchindran, our beloved Suchi. cpc.unc.edu/news/rememberi…
Sebas Teran Hidalgo retweeted
Generalising from experiments implicitly relies on the assertion that CATEs are transportable. This is a strong assumption, and we ought to think about it carefully (e.g. arxiv.org/abs/2209.01754) instead of asserting it through functional form.
Generalising from experiments implicitly relies on the assertion that CATEs are transportable. This is a strong assumption, and we ought to think about it carefully (e.g. arxiv.org/abs/2209.01754) instead of asserting it through functional form. https://t.co/e34IGkWM4f
Sebas Teran Hidalgo retweeted
Postapocalyptic scene in #pixelart A storefront, Caputo’s Bakery/Brooklyn
Sebas Teran Hidalgo retweeted
From a recent collaboration: Gradient boosting is usually great, but beware of overtuning. And no, k-fold cross-validation does not prevent overfitting. Tune a large number of hyperparameters, and you will overfit to your k-fold partitions:
Sebas Teran Hidalgo retweeted
Just discovered a completely bizarre #RStats quirk. Wrapping this loop up in a function speeds it up by like 8x.
Sebas Teran Hidalgo retweeted
Woot woot, our generalizability & transportability review is out, co-authored with @sherrirose! If you'd like to learn more about how to assess and address external validity bias, take a look: annualreviews.org/doi/abs/10.114…, arxiv.org/abs/2102.11904
Sebas Teran Hidalgo retweeted
Visual Guide to Inverse Probability Weighting (IPW) ⚖️ IPW estimators use the prob. of treatment or propensity score (PS) to reweight an outcome. IPW estimators rely on getting the PS right. You can use a doubly robust method to lessen that reliance! 🎨github.com/kathoffman/cau…
Sebas Teran Hidalgo retweeted
This is one of the best intro Bayesian books I’ve ever read. Great examples and visualizations. It spends a lot of time on the really important philosophical bits and explains them very well. Nice job Alicia Johnson @Miles_Ott @MineDogucu 13/10 #rstats
Sebas Teran Hidalgo retweeted
🗣new blog post! Building Statistical Intuition for Individualized Treatment Rules 💊 in similar style to other posts, the content is introductory-level, and I've tried to break math notation down into words, graphics, and #rstats code ➡️khstats.com/blog/otr/otr/ 1/2
Sebas Teran Hidalgo retweeted
revisited a past project and made a visual guide to G-Computation estimation for causal inference🎨 G-comp is also called the g-formula or g-standardization. pdf/jpg on Github👉 github.com/kathoffman/cau… older TMLE and superlearning guides linked below. IPW and AIPW coming soon!
Sebas Teran Hidalgo retweeted
Interested in causal inference? I updated my course last year and have posted the course materials online. If you're teaching a causal inference course, please feel free to steal my lecture notes! mattblackwell.github.io/gov2003-f21-si…
Sebas Teran Hidalgo retweeted
Absolutely insane demo by @coolbutuseless at #RStudioConf! Real interactive video games, running in base #RStats in real time! Bravo👏🏻👏🏻👏🏻 #RStudioConf2022
Sebas Teran Hidalgo retweeted
How much do we gain from building machine learning algorithms that complement downstream human decision makers? In our #ICML2022 paper with @charusaie @david_sontag & Samira Samadi, we explore this in the expert deferral problem proceedings.mlr.press/v162/charusaie…
Sebas Teran Hidalgo retweeted
i made a little presentation
Sebas Teran Hidalgo retweeted
I recently gave this #pandas talk on how pandas is at a cross roads and where we can from here. enjoy!youtube.com/watch?v=7JHqxO…
Sebas Teran Hidalgo retweeted
I lost my job because I spoke to a man the way men speak to me. This is why women leave the tech industry.
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