Harvard Statistics Department
@HarvardStats
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The Harvard Statistics Department fosters groundbreaking statistical methods and conducts innovative applied statistics, bridging theory and practice.
1 oxford Street, Cambridge, MA
Joined July 2022
"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:
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In "If statistics Must Die. Let It Go Out with All Its Styles," @XiaoLiMeng1 proposes that statisticians embrace both traditional and newer styles to lead the profession forward: @InstMathStat.
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Harvard Statistics is proud to be a part of public school outreach programs like Data Adventure Day for high school students and Project Teach for middle school students! Read more here: #HarvardStats
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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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Congrats t to Statistics PhD alum Louis Cammarata on receiving the 2025 Lawrence D. Brown PhD Student Award! 🏆 Cammarata was selected based on his work on dynamic network analysis with Prof. Tracy Ke:
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🎉 Congratulations to Prof. @SusanMurphylab1 on receiving the 2024 Mosteller Statistician of the Year Award! 🏆✨ We celebrated her achievements with students, postdocs, and colleagues at a special BCASA reception. Read more in the BCASA's newsletter:
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Hosted by Stats, CS & Applied Math, our Women in Tech & AI Career Panel featured Stella Biderman (@BlancheMinerva), Exec Director @AiEleuther, & Ashley Mae Conard (@ashleymaeconard), Sr. Researcher @MSFTResearch Health Futures. What an empowering event!
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Read “HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators" by Song, @XihongLin, & @Pragya_sur. They develop a method for estimating heritability or signal-to-noise ratio in high dimensional scenarios, i.e. in stats genetics:
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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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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:
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Tune into @statsandstories podcast to explore how Bayesian methods are impacting the environmental landscape. The podcast features @NoelCressie Distinguished Professor @uowcei.
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. -.
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To all literature & stats fans, how similar is stats analysis to close readings? Take a look at responses in @StatModeling blog by Stats PhD Alum Prof. Andrew Gelman.
Close reading in literary criticism and statistical analysis.
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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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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.
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 .
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RT @signmagazine: Statistics and space: Prepare for impact! The September 2024 issue of Significance is now published online - with print c….
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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:
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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"!.
🚨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: Or the paper here:
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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"!.
The *Statistics Behind the Headlines* audiobook by @john_bailer and @rompenni is live on the Stats+Stories website. To listen check out This book is part of the ASA - CRC Press Series on Statistical Reasoning in Science and Society.
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Take a look at @InstMathStat August Bulletin, which features the 2024 Gottfried E. Noether Early Career Scholar Award presentations by @EdgarDobriban and Lucas Janson:
Catch up with the latest news from the Institute of Mathematical Statistics: August issue. Next deadline is August 15 for the September issue.
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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:
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