Invariance in heterogeneous, large-scale and high-dimensional data – Peter Bühlmann – ICM2018

Probability and Statistics
Invited Lecture 12.17
Invariance in heterogeneous, large-scale and high-dimensional data
Peter Bühlmann

Abstract: Statistical inference from large-scale data can benefit from sources of heterogeneity. We discuss recent progress of the mathematical formalization and theory for exploiting heterogeneity towards predictive stability and causal inference in high-dimensional models. The topic is directly motivated by a broad range of applications and we will show an illustration from molecular biology with gene knock out experiments.

© International Congress of Mathematicians – ICM
 
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