Institute of Information Theory and Automation

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Geometric Aspects of Conditional Independence and Information


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)
František Matúš (Institute of Information Theory and Automation)

2008-07-08 09:40