Sean J. Taylor (@seanjtaylor) 's Twitter Profile
Sean J. Taylor

@seanjtaylor

Building @MotifAnalytics. Formerly @Lyft and @Facebook. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.

ID: 20963651

linkhttps://seanjtaylor.com calendar_today16-02-2009 04:55:26

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Tyler Burch (@tylerjburch) 's Twitter Profile Photo

So anyway here's a 7-year-old reddit post with 12 upvotes about higher order moments of statistical distributions that's actually really insightful, even for kurtosis.

So anyway here's a 7-year-old reddit post with 12 upvotes about higher order moments of statistical distributions that's actually really insightful, even for kurtosis.
David Shor (@davidshor) 's Twitter Profile Photo

I checked which set of weights for gold/silver/bronze medals in the Olympics does a best job at predicting year to year correlations in weighted medal count per country (from 2004 to 2012, since that data was easily available and didn't feature many border changes). The optimal

Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

This argument is so wacky to me. Over 40,000 people signed a recall petition, 10% of the population of Oakland. It doesn’t matter who paid for the flyers and website, the movement against Sheng Thao is as grassroots as it gets. We’ve all been affected by her poor performance.

eytan bakshy (@eytan) 's Twitter Profile Photo

Doing research on probabilistic modeling, decision-making under uncertainty, or efficient learning and optimization? Come to NeurIPS to present your work! Submissions due August 29th. gp-seminar-series.github.io/neurips-2024/

Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

These recent slides from Susan Athey and Guido Imbens at NBER are a great recent review of the most valuable data science methods I'm aware of. They cover tons of ground with lots of pointers. conference.nber.org/confer/2024/SI…

These recent slides from Susan Athey and Guido Imbens at NBER are a great recent review of the most valuable data science methods I'm aware of. They cover tons of ground with lots of pointers.

conference.nber.org/confer/2024/SI…
𝚁𝚊𝚏𝚊𝚎𝚕 𝙼 𝙱𝚊𝚝𝚒𝚜𝚝𝚊 (@rafmbatista) 's Twitter Profile Photo

🚨Job Market Paper: Using language to generate hypotheses🚨 This paper explores how language shapes behavior. Our contribution, however, is not in testing specific hypotheses- it's in generating them (using #LLMs + #ML + #BehSci) But how exactly? 🧵👇 rafaelmbatista.com/jmp/

🚨Job Market Paper: Using language to generate hypotheses🚨

This paper explores how language shapes behavior. Our contribution, however, is not in testing specific hypotheses- it's in generating them (using #LLMs + #ML + #BehSci)

But how exactly? 🧵👇
 rafaelmbatista.com/jmp/
Bilal Mahmood 馬百樂 (@bilalmahmood) 's Twitter Profile Photo

Why don't San Francisco's night markets serve more hot food? Basic booth fee: $500 Catering Permit: $456 Health Dept application: $401 Health Dept permit: $588 Fire Dept application: $462 Fire Dept permit: $504 It takes $2911 to operate a single yakitori stand.

Why don't San Francisco's night markets serve more hot food? 

Basic booth fee: $500
Catering Permit: $456
Health Dept application: $401
Health Dept permit: $588
Fire Dept application: $462
Fire Dept permit: $504

It takes $2911 to operate a single yakitori stand.
Justin Grimmer (@justingrimmer) 's Twitter Profile Photo

Forecasts of US presidential elections are everywhere, and they’re discussed obsessively by journalists and the public. But are they any good? Dean Knox, Sean Westwood, and I show we’re decades, centuries, or (sometimes) millenia away from evidence that they are any better

Forecasts of US presidential elections are everywhere, and they’re discussed obsessively by journalists and the public. But are they any good? <a href="/dean_c_knox/">Dean Knox</a>, <a href="/seanjwestwood/">Sean Westwood</a>, and I show we’re decades, centuries, or (sometimes) millenia away from evidence that they are any better
Kweku Opoku-Agyemang, Ph.D (@kwekuoa) 's Twitter Profile Photo

Neat statistics lecture notes to introduce you to causal inference: from randomized controlled trials (RCTs) to adaptive experiments. web.stanford.edu/~swager/stats3…

Neat statistics lecture notes to introduce you to causal inference: from randomized controlled trials (RCTs) to adaptive experiments. web.stanford.edu/~swager/stats3…
Alberto Cavallo (@albertocavallo) 's Twitter Profile Photo

New markups paper alert! 👇👇👇👇 How do markups vary over time along the supply chain? To address this question, I'm very excited to share a new working paper from the HBS Pricing Lab, joint with Santiago Alvarez Blaser, Alex MacKay, and Paolo Mengano: papers.ssrn.com/sol3/papers.cf…