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...