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Harvard Statistics Department @HarvardStats

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

Joined July 2022
  • Tweets 249
  • Following 73
  • Followers 1,400
109 Photos and videos
"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: summer.harvard.edu/blog/take…

Take a Sneak Peek at Harvard Summer School Courses - Harvard Summer School

Ever wondered what Harvard Summer School courses are like? Check out this sneak peek into just a few of the 200 courses offered to high school students.

summer.harvard.edu
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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: statistics.fas.harvard.edu/s… @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: statistics.fas.harvard.edu/n… #HarvardStats
Lucas Janson teaches Project Teach class.

ALT Lucas Janson teaches Project Teach class.

Julie Vu leads discussion of graph for Project Teach.

ALT Julie Vu leads discussion of graph for Project Teach.

Data Adventure Day photo of students in activity 1.

ALT Data Adventure Day photo of students in activity 1.

volunteers posing with Florence Nightingale for Data Adventure Day

ALT volunteers posing with Florence Nightingale for Data Adventure Day
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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.
Poster for Preceptor Julie Vu's presentation for the Harvard College Women’s Center on Wednesday, 10/30 at 7 PM in Canaday Hall B (Lower Level). Treats will be included. Scan the QR code.

ALT Poster for Preceptor Julie Vu's presentation for the Harvard College Women’s Center on Wednesday, 10/30 at 7 PM in Canaday Hall B (Lower Level). Treats will be included. Scan the QR code.
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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: statistics.fas.harvard.edu/n…
Louis Cammarata

ALT Louis Cammarata
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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: sway.cloud.microsoft/kHlKB41…
Professor Susan Murphy with Students and Postdocs.

ALT Professor Susan Murphy with Students and Postdocs.
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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! statistics.fas.harvard.edu/n…
Audience in the Women in Tech Career Panel

ALT Audience in the Women in Tech Career Panel

The Women in Tech Career Panelists and Moderators

ALT The Women in Tech Career Panelists and Moderators

Participants and Career Panelists having dinner

ALT Participants and Career Panelists having dinner
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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: arxiv.org/abs/2406.11184
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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
Chalkboard in one of our main department rooms in the Science Center, room 316. Text says, "Welcome to Stats! Where the magic happens! Can't wait for: talks, Stat Night, Panels, Coffee Hour, CLASS, Stat 300, Presentations, and Lunches.

ALT Chalkboard in one of our main department rooms in the Science Center, room 316. Text says, "Welcome to Stats! Where the magic happens! Can't wait for: talks, Stat Night, Panels, Coffee Hour, CLASS, Stat 300, Presentations, and Lunches.

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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: arxiv.org/abs/2406.11666

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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.
Stats Stories@statsandstories
6 May 2024
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/environm…
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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.
Andrew Gelman et al.@StatModeling
14 Aug 2024
Close reading in literary criticism and statistical analysis statmodeling.stat.columbia.e…
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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.
Harvard Data Science Review@TheHDSR
6 Aug 2024
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/qh…
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Harvard Statistics Department retweeted
Significance@signmagazine
14 Aug 2024
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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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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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
26 Jul 2024
🚨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-… Or the paper here: arxiv.org/pdf/2407.11336
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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"!
Stats Stories@statsandstories
27 May 2024
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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Take a look at @InstMathStat August Bulletin, which features the 2024 Gottfried E. Noether Early Career Scholar Award presentations by @EdgarDobriban and Lucas Janson: imstat.org/wp-content/upload…

IMS@InstMathStat
15 Jul 2024
Catch up with the latest news from the Institute of Mathematical Statistics: imstat.org/wp-content/upload… 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: arxiv.org/abs/2406.13944

Generalization error of min-norm interpolators in transfer learning

This paper establishes the generalization error of pooled min-$\ell_2$-norm interpolation in transfer learning where data from diverse distributions are available. Min-norm interpolators emerge...

arxiv.org
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