Sparse graphs and high-dimensional causal inference

Sparse graphs and high-dimensional causal inference

Neyman Seminar
Dec 1, 2010, 04:10 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Peter Bühlmann, ETH Zürich (Speaker)
Understanding cause-effect relationships between variables is of interest in many fields of science. It is desirable to obtain causal information from observational data obtained by observing the system of interest without subjecting it to interventions (randomized experiments). When assuming no or little information about (causal) influence diagrams, the problem in its full generality is...