LSE Department of Statistics. Promoting excellence in research and education in statistics and data science.
LSE Department of Statistics
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✈️ 🇺🇲 🍏 Dr Giulia Livieri visited the Big Apple last week to present ‘Testing for endogeneity of irregular sampling schemes’ at the MPSS Conference on Financial Econometrics that took place at Princeton University.
Giulia's associated paper 👉 papers.ssrn.com/sol3/papers.cfm?abstract_id=4307336
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Marcos Barreto will be our closing speaker at next week's Research Showcase industry 'Workshop on Generative AI: Research Advances & Applications' - presenting 'Rethinking core skills in programming education in the age of AI agents'
👉 Info & reg: tinyurl.com/b6nffrsz
What if your AI model looks fair, but only on average...?
New 'The Measure of it' blog out now: 'Beyond average: A new approach to multicalibration brings group fairness to web scale'.
Read our introduction to the powerful ML algorithm 'MCGrad' here:
tinyurl.com/y3mrppdx
🧐 Check out our Department research blog, 'The Measure of it' and explore a growing body of original and accessible content.
Keep your eyes peeled for new posts each month!
👉 https://www.lse.ac.uk/statistics/the-measure-of-it-blog
We're excited to partner at #AISummit London! Join us 10 June at Tobacco Dock for AI career insights. 📍 #LondonTechWeek #LSE
Whether you’re a student, academic, alumnus, or industry partner, our events offer opportunities to connect, learn, & explore the latest developments in statistical science.
Explore our programme on our Department webpages here:
https://www.lse.ac.uk/statistics/events
🎙️ Giulia Livieri presents her research on endogeneity tests in high-frequency finance at Erasmus University Rotterdam, 21 May. Find out more here: https://www.eur.nl/en/ese/events/testing-endogeneity-irregular-sampling-schemes-2026-05-21
Day 1 of our Research Showcase 2026 is done — a full day on generative AI with speakers from Meta, Barclays, AstraZeneca, GitHub Next, Cambridge, and our own department. Talks, posters, and plenty of conversation. Days 2 and 3 to come. 📊
John Barlow and Daniel Titherington introduce MCGrad (MultiCalibration Gradient Boosting), a powerful machine learning algorithm developed by researchers at Meta and Professor Milan Vojnovic.
