Very sad that Carl Morris, Emeritus Professor of Statistics at Harvard, has passed away. He was, for example, the most influential empirical Bayesian of the 70s & 80s. A dedicated teacher & mentor, he was full of common sense, encouragement & cheer. statistics.fas.harvard.edu/people/carl-n-…

Thrilled to hear that my colleague Xihong Lin was just elected to National Academy of Sciences!! Congratulations, Xihong! This honor is so very well deserved!

Prof. Morris was a great mentor - I'm sad to hear of his passing. He demonstrated unbelievable patience with our shenanigans at HSAC. This pop'em's for you, Carl.

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.

People often ask what it takes to develop a successful (clinical) prediction model Here are TEN important things to avoid

The Harvard Statistics Dept has a tenure track opening this year, and welcomes applications. Please help spread the words. academicpositions.harvard.edu/postings/12407

Our latest Bits & Bites column by Joe Blitzstein (Joe Blitzstein ) 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/hhcrzne1

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.

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/st…

Hi #EconTwitter! In search of a solid intro to probability theory? Check out this very nice book by Joe Blitzstein (Joe Blitzstein, Harvard University) and Jessica Hwang. It's packed with examples and exercises, focuses on learning through simulation, and stresses real-world applications.

Am looking forward to teaching at Harvard with Joe Blitzstein (Joe Blitzstein) in the Spring. Our undergraduate class is Stat111 "Introduction to Statistical Inference." It currently has 350 students registered for it, the 4th biggest class at Harvard.

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 Joe Blitzstein, Anqi Zhao, and their team: youtube.com/watch?v=iA0xRU…

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/event/online-r…

Our new youTube channel: youtube.com/playlist?list=… Comments welcome!

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

The folks at ISBA 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

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

excited to see the physical copy of the book; nervous about the potential errors. Comments are welcome.

this probability 101 cheat sheet is incredibly well done *chef's kiss*