[Statlist] Joint talk: FDS seminar - Research Seminar on Statistics with David Blei, Columbia University -- ETH Zurich, 7 March 2025

[Kaiser-Heinzmann Susanne]

We are pleased to announce and invite you to the following joint talk in our ETH-FDS Seminar - Research Seminar on Statistics:

„Hierarchical Causal Models“

by David Blei, Columbia University

Date and Time: Friday, 7 March 2025, 16.15 - 17.15 (Zurich)
Place: ETH Zurich, HG D 7.2

Abstract: Analyzing nested data with hierarchical models is a staple of Bayesian statistics, but causal modeling remains largely focused on "flat" models. In this talk, we will explore how to think about nested data in causal models, and we will consider the advantages of nested data over aggregate data (such as data means) for causal inference. We show that disaggregating your data---replacing a flat causal model with a hierarchical causal model---can provide new opportunities for identification and estimation. As examples, we will study how to identify and estimate causal effects under unmeasured confounders, interference, and instruments. 

Preprint: https://arxiv.org/abs/2401.05330 

This is joint work with Eli Weinstein.


Seminar websites: https://math.ethz.ch/sfs/news-and-events/data-science-seminar.html, https://math.ethz.ch/sfs/news-and-events/research-seminar.html



ETH Zürich I Seminar für Statistik I Rämistrasse 101 I 8092 Zürich I Telefon +41 44 632 65 18 I sekretariat at stat.math.ethz.ch