2026 Distinguished Lecture in Statistical Sciences with Daniela Witten
2026 Distinguished Lecture Series in Statistical Sciences: Daniela Witten
Free Hybrid Event (Virtual/In person) | Registration Required
Join us for this year’s Distinguished Lecture Series in Statistical Sciences with:
Daniela Witten
Professor of Statistics & Biostatistics
Dorothy Gilford Endowed Chair of Mathematical Statistics
University of Washington
Oct 1 | 3:30–4:30 p.m. ET
Talk Title: Selective Inference and its Applications
Abstract: Classical statistics centers around the setting where the questions that we ask about our data are specified in advance, before we even look at our data. However, in contemporary settings, often the data analyst comes up with a question only after looking at the data. Classical methods break down in this setting: for instance, standard hypothesis tests do not achieve type 1 error control, and confidence intervals do not attain the nominal coverage. In this overview talk, I will introduce the field of selective inference, which encompasses a number of recent approaches to conduct inference on hypotheses or parameters that are selected from the data, rather than specified in advance.