skip to content

Rothschild Lecture: Causality, Invariance and Robustness

Presented by: 
Peter Bühlmann ETH Zürich
Friday 22nd June 2018 - 16:00 to 17:00
INI Seminar Room 1
Is it a cause or an effect? This simple but fundamental question has a long history in science and society. Randomised studies serve as the gold standard for inferring causality but they are often expensive or even
impossible to do due to ethical reasons. Recent approaches try to "substitute in part" the randomised studies by models, algorithms and statistical methods. Perhaps surprisingly, heterogeneity in potentially
large-scale data can be beneficially exploited for causal inference and novel robustness, with wide-ranging prospects for various applications. The key idea relies on a notion of probabilistic invariance: it opens up new insights with connections to frameworks used in robust optimisation and economics.

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons