Harvard Statistics Department

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Harvard Statistics Department

Harvard Statistics Department

@HarvardStats

The Harvard Statistics Department fosters groundbreaking statistical methods and conducts innovative applied statistics, bridging theory and practice.

1 oxford Street, Cambridge, MA Katılım Temmuz 2022
73 Takip Edilen1.4K Takipçiler
Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
"What is intelligence?" and "How do we ensure safe human-computer interaction?" Register for @XiaoLiMeng1 Harvard Online Summer Course "Data Science: An Artificial Ecosystem" by June 17th to explore data & AI topics from different perspectives: #Data-Science-An-Artificial-Ecosystem" target="_blank" rel="nofollow noopener">summer.harvard.edu/blog/take-a-sn…
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Preceptor Julie Vu will speak w/ the Harvard College Women’s Center on Wednesday, 10/30 at 7 PM in Canaday Hall B (Lower Level)! Join an inspiring discussion on navigating identities in academic & professional spaces, female representation in STEM, & gender equity.
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Welcome back students to the Stats Dept! We can't wait for talks, stat night, coffee hour, CLASSES, & more during the fall semester! Watch where the magic happens in this video. #HarvardStats
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Congrats to Kevin Luo, Yufan Li, & @pragya_sur on their paper “ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data." They introduce ROTI-GCV, a new framework for cross-validation under sample dependence and heavy-tailed covariates: arxiv.org/abs/2406.11666
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Tune into @statsandstories podcast to explore how Bayesian methods are impacting the environmental landscape. The podcast features @NoelCressie Distinguished Professor @uowcei.
Stats + Stories@statsandstories

Recent Stats+Stories Podcast - guest @NoelCressie from the @uowcei talks about the WOllongong Methodology for Bayesian Assimilation of Trace-gases and how it can impact the environmental landscape.  - statsandstories.net/environment1/w…

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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
For the last meeting, our Data & Society Book Club enjoyed the outdoors while discussing @TheHDSR Special Issue 5 "Future Shock: Grappling With the Generative AI Revolution." We shared our reactions to problems associated w/ GenAI - thanks for a lively discussion! @XiaoLiMeng1
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Thank you @TheHDSR for your insightful article on "Is Chat GPT More Biased Than You?" The article examines the bias in LLMs and explores how to reduce this bias.
Harvard Data Science Review@TheHDSR

Is #ChatGPT More Biased Than You? Read our latest Bites and Bites column by @BosoneCostanza, @stateconomist, Golnoosh Babaei, David Banks & Yunhong Shan to find out about biases in Large Language Models and how to train #LLMs to be less biased hdsr.mitpress.mit.edu/pub/qh3dbdm9

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Significance
Significance@signmagazine·
Statistics and space: Prepare for impact! The September 2024 issue of Significance is now published online - with print copies reaching subscribers soon. Watch this space for the free-to-reads. ow.ly/CAUL50S9JRO #statistics #space
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Read "Predictive Inference in Multi-environment Scenarios" by John C. Duchi, Suyash Gupta, Kuanhao Jiang & @Pragya_sur, which addresses the challenge of constructing valid confidence intervals in problems of prediction across multiple environments: arxiv.org/abs/2403.16336
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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Congrats to @CoryMcCartan, @Chris_T_Kenny, @tylersimko, Emma Ebowe, Michael Y. Zhao, and Kosuke Imai on their new working paper "Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors"!
ALARM Project@alarm_redist

🚨New working paper🚨 Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors by @CoryMcCartan, @Chris_T_Kenny, @tylersimko, Emma Ebowe, Michael Y. Zhao, and Kosuke Imai. Read a summary here: alarm-redist.org/posts/2024-07-… Or the paper here: arxiv.org/pdf/2407.11336

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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Check out @statsandstories "Statistics Behind the Headlines" audiobook in which John Bailer and Rosemary Pennington provide a "roadmap to statistical literacy and a data self-defense course"!
Stats + Stories@statsandstories

The *Statistics Behind the Headlines* audiobook by @john_bailer and @rompenni is live on the Stats+Stories website. To listen check out statsandstories.net/book. This book is part of the ASA - CRC Press Series on Statistical Reasoning in Science and Society.

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Harvard Statistics Department
Harvard Statistics Department@HarvardStats·
Congrats to Song, Bhattacharya, & @Pragya_sur on their paper “Generalization error of min-norm interpolators in transfer learning”. They develop a new framework for quantifying the generalization error of min-norm interpolators under transfer learning: arxiv.org/abs/2406.13944
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@XiaoLiMeng1 @InstMathStat @SusanMurphylab1 @BlancheMinerva @AiEleuther @AshleyMaeConard @MSFTResearch @XihongLin