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Geometric Aspects of Conditional Independence and Information

Date of event
Department
Department of Decision-Making Theory

location: Max Planck Institute for Mathematics in the Sciences

date: March 13 - 14, 2008

www: link

Workshop Topics:
  1. Algebraic statistics, algebraic varieties and conditional independence.
  2. Causality, Bayesian networks and graph separation criteria for conditional independence.
  3. Learning, causal (conditional) independence, causal information flows and networks.
  4. Geometric aspects of information, decision and entropic quantities.
  5. Information-theoretical inequalities and their applications in information theory, networks, cryptology and quantum settings.

The workshop is organised by:

Nihat Ay (Max Planck Institute for Mathematics in the Sciences)

and

František Matúš (Institute of Information Theory and Automation)

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