

Geometric Aspects of Conditional Independence and Information
March 13 - 14, 2008
Max Planck Institute for Mathematics in the Sciences
Workshop Topics
- Algebraic statistics, algebraic varieties and conditional independence.
- Causality, Bayesian networks and graph separation criteria for conditional independence.
- Learning, causal (conditional) independence, causal information flows and networks.
- Geometric aspects of information, decision and entropic quantities.
- Information-theoretical inequalities and their applications in information theory, networks, cryptology and quantum settings.

Date and Location
March 13 - 14, 2008
Max Planck Institute for Mathematics in the Sciences
Inselstraße 22
04103 Leipzig
Germany
see travel instructions
Scientific Organizers
Nihat AyMax Planck Institute for Mathematics in the Sciences
Information Theory of Cognitive Systems Group
Leipzig
Contact by Email
František Matúš
Academy of Sciences of the Czech Republic

Prague
Contact by Email
Administrative Contact
Antje VandenbergMax Planck Institute for Mathematics in the Sciences
Contact by Email