False Discovery Rates: A Review and Some New Ideas

Christof Seiler is an assistant professor of statistics in the Department of Advanced Computing Sciences at Maastricht University and a principal investigator in the Center of Experimental Rheumatology at University Hospital Zurich and the University of Zurich. He received his academic training at Stanford University, Inria Sophia Antipolis, and the University of Bern.

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Abstract

We will review false discovery rates by simulating our own data. We will use chapter 6 in the textbook Modern Statistics for Modern Biology [1]. Then, we will look at new ways to quantify uncertainty. I will present our recent work on building prediction intervals for calorie prediction at the Tour de France using conformal prediction [2].

[1] Susan Holmes and Wolfgang Huber, Modern Statistics for Modern Biology, Cambridge University Press, 2019.

[2] Kristian van Kuijk, Mark Dirksen, and Christof Seiler, Conformal Regression in Calorie Prediction for Team Jumbo-Visma, Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:5-15, 2023.

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