[Statlist] Reminder: DACO Seminar talk with Prof. Dr. Susan Holmes, Stanford University - 9 May 2023

[Maurer Letizia]

We are pleased to announce and invite you to the following talk in our DACO seminar series:

„DACO-​FDS: Generative models for power, identifiability and goodness of fit testing“
by Prof. Dr. Susan Holmes, Stanford University

Date and Time: Tuesday, 9 May 2023, 14.15 - 15.05 (Zurich)
Place: ETH Zurich, HG G 19.1

Abstract: IBy linking conceptual theories with observed data, generative models can support reasoning in complex situations. They have come to play a central role both within and beyond statistics, providing the basis for power analysis in molecular biology, theory building in particle physics, and resource allocation in epidemiology. This talk will survey some applications of modern generative models and show how they inform experimental design, iterative model refinement, goodness-​of-fit evaluation, and agent based simulation. We emphasize a modular view of generative mechanisms and discuss how they can be flexibly recombined in new problem contexts. Current research in generative models is currently split across several islands of activity, and we highlight opportunities lying at disciplinary intersections. This is joint work with Kris Sankaran that was recently published and for which practical illustrations are available at https://github.com/krisrs1128/generative_review.


Organisers: A. Bandeira, R. Weismantel, R. Zenklusen

Seminar website: https://math.ethz.ch/news-and-events/events/research-seminars/daco-seminar.html