Statistics professor at Harvard; statistician and data scientist; probability and paradoxes; Bayesian frequentist reconciliation; chess.

Joined August 2010
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New edition of my probability book with Jessica Hwang is out! Read it FREE online at probabilitybook.net
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Today I gave a lecture on probability theory in my first ever course as a college professor. I am a cognitive scientist, not a statistician, and I teach research methods. It was only thanks to taking @stat110 with Joe Blitzstein that I ever understood probability!
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this probability 101 cheat sheet is incredibly well done *chef's kiss*
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27 Jul 2024
excited to see the physical copy of the book; nervous about the potential errors. Comments are welcome.
I just uploaded the R code and datasets to Harvard Dataverse: doi.org/10.7910/DVN/ZX3VEV I plan to provide Python code as well but I need to learn Python first.
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The folks at @ISBA_events tell me my book Statistical Rethinking has won the 2024 DeGroot Prize for its contributions to "statistical inference, decision theory and statistical applications". This is huge honor especially given the previous winners, who have influenced me so much
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Remembering Sir David Cox on his 100th Birthday🎂 The 15th July 2024 marked the late Sir David’s 100th Birthday. 🎊 To find out about how we are marking his legacy, check our latest news post, where you can find out about our #MemorialFund in his name. rb.gy/7hi5hg
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TIME's list of the 100 Most Influential People in global health is out today. I'm honored to be a part this group: time.com/time100health! #TIME100HEALTH

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Join us at BCASA's 2024 Mosteller Statistician of the Year Award Ceremony honoring Prof. Susan Murphy. Prof. Murphy will give a talk on Online Reinforcement Learning in Digital Health Interventions. See event details here: statistics.fas.harvard.edu/e…

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Replying to @matt_blackwell
But all models are fiction. :) Measurements are discrete, but some concepts (temperatures, heights) are more intuitive to model as continuous, no? Btw I like this helpful & cute animation by @stat110, Anqi Zhao, and their team: youtube.com/watch?v=iA0xRUNv…
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This video showed up on my youtube feed today, and before watching it I knew it was gonna touch on the Universality of the Uniform. I learned it from @stat110 7 years ago and it's still in my brain. What an absolute legend of a teacher youtube.com/watch?v=Z9fODwme…
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Hi #EconTwitter! In search of a solid intro to probability theory? Check out this very nice book by Joe Blitzstein (@stat110, @Harvard) and Jessica Hwang. It's packed with examples and exercises, focuses on learning through simulation, and stresses real-world applications. Bonus: video lectures available. Cool stuff - don't miss out! ⭐️ Links book: probabilitybook.net/ videos: youtube.com/playlist?list=PL…
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For all the people who followed me recently because I posted some weird posterior distributions, I have made more than 20 hours of free lectures on Bayesian stats and causal inference just for you👇 x.com/rlmcelreath/status/163…

The 2023 edition of my long-running anti-establishment art-science-fusion code-therapy smooth-baritone causal inference & Bayesian data analysis course is complete. 20 lectures, from the basics of causal inference & Bayesian updating to mixed models & Gaussian processes. 1/2
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Excited to share that I've joined MIT as an assistant professor in EECS! I'm thrilled to join many thoughtful, inspiring colleagues. Looking ahead, I'm working to develop statistical principles for AI models so that we can use them for science and reliable automated systems.
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Our latest Bits & Bites column by Joe Blitzstein (@stat110 ) showcases the late Sir David Cox’s exceptional knowledge & insights as well as his kind & nurturing approach to teaching. #DataScience #Statistics hdsr.mitpress.mit.edu/pub/hh…

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11 Jun 2023
The Harvard Statistics Dept has a tenure track opening this year, and welcomes applications. Please help spread the words. academicpositions.harvard.ed…

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People often ask what it takes to develop a successful (clinical) prediction model Here are TEN important things to avoid
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Carl Morris was not only a brilliant Statistician, inspiring mentor, and model human being, but also a pioneer and strong ally of the sports analytics community.
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Thrilled to hear that my colleague @XihongLin was just elected to @theNASciences!! Congratulations, Xihong! This honor is so very well deserved!
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2 May 2023
Prof. Morris was a great mentor - I'm sad to hear of his passing. He demonstrated unbelievable patience with our shenanigans at @Harvard_Sports. This pop'em's for you, Carl.
Carl Morris: Man Out of Time Reflections on empirical Bayes statmodeling.stat.columbia.e…
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My colleague Herman Chernoff is turning 100 this year! We're having a centennial celebration on May 5 at Harvard: eventbrite.com/e/herman-cher… Hope to see a lot of you there!

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