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Our paper on empirical Bayes deconvolution just published in the Journal of Statistical Software jstatsoft.org/article/view/v…, my first with Brad! #rstats #statistics

🎲Noise-induced randomization in regression discontinuity designs📈 A new approach to inference that directly uses the "local randomization" — from measurement error or other noise — that is often used to informally justify RDDs arxiv.org/abs/2004.09458

This paper executes on a really nice idea. If you know of diagnostic tests for which decisions are routinely made on a threshold basis, but the underlying test is noisy, consider it an opportunity to sharpen your inferences! x.com/deaneckles/sta…

Excellent thread on covariate-adaptive false discovery rate control! Wolfgang and Nikos opened a new line of research in multiple testing, including mine w/ Will Fithian and others: AdaPT (for generic setting), STAR (for logical constraint), and BONuS (for multivar. test statistics)

Really happy to present our EuroSys 2022 paper to Intel Labs along with two other great EuroSys 2022 papers. Many thanks to Anjo Vahldiek-Oberwagner for organizing this. The three presented papers: (ours) alexios-voulimeneas.github.io/papers/cerberu… dl.acm.org/doi/abs/10.114… dl.acm.org/doi/abs/10.114…

Thank you for having me, Michael Love! I had a blast giving a lecture to a class with really engaged students and with so many great questions!

I asked ChatGPT to write a review of "An Introduction to Statistical Learning" by Trevor Hastie, rob tibshirani, and Daniela Witten, but using 16th century English! Here are the first two reviews it produced. Clearly the referee process has just become a lot easier 😂

The Columbia Stats department is hosting a birthday conference for our very own Richard Davis in a few weeks. If you are interested in extremes and time series, the talks will be streamed! stat.columbia.edu/extremes-and-t…

Now forthcoming in the Journal of the American Statistical Association (with Jelena Bradic )

Kristian Lum(Kristian Lum), a renowned statistician and machine learning researcher who focuses on fairness, accountability and transparency, has joined the Data Science Institute as a research associate professor. Learn more about Kristian here: datascience.uchicago.edu/news/ml-bias-e…

The skewed Bernstein-von Mises theorem is online arxiv.org/abs/2301.03038. With Francesco Pozza and Botond Szabo we derive a new limiting law given by tractable generalized skew-normals that remarkably improves the convergence rate (and practical accuracy) of the classical BvM result!

Kevin Chen Dean Eckles Empirical Bayes CATE estimation has always sounded like a good application of this paper by Nikos Ignatiadis and Stefan arxiv.org/abs/1906.01611

imstat.org/2023/08/31/cop… great interview with a truly great person. can't think of anyone more deserving of the copss award

Uchicago is hiring in stats and applied math this year stat.uchicago.edu/about/job-oppo…

Junu Lee is presenting "Boosting e-BH via conditional calibration" (arxiv.org/abs/2404.17562) at the International Seminar on Selective Inference on June 20 (8:30 am PT / 11:30 am ET / 4:30 pm London / 6:30 pm Tel Aviv). Drop by if you are interested! selectiveinferenceseminar.com

ISSI is back! We will have Will Fithian Will Fithian speaking on Monday, September 30th, at 8:30am PT / 11:30am ET / 4:30pm London / 6:30pm Tel Aviv. Come join us! Details can be found at selectiveinferenceseminar.com.

Our new paper on in-silico estimates of replicability in ecology and evolution in NatureEcoEvo led by wonderful YefengYang with two statisticians - Erik van Zwet Nikos Ignatiadis Open access: nature.com/articles/s4155…

This week's ISSI features our own Nikos Ignatiadis Nikos Ignatiadis. He will talk about "Empirical partially Bayes multiple testing and compound χ2 decisions" (arxiv.org/abs/2303.02887). After the talk, Jelle Goeman will give a short discussion. Come and join us!

At our seminar on Nov 11, Anru Zhang Anru Zhang will present "Functional post-clustering selective inference with applications to EHR"(arxiv.org/abs/2405.03042), followed by a discussion by Yiqun Chen Yiqun T. Chen. Please come and join us!