THEMATIC PROGRAMS

Causal Interpretation and Identification of Conditional Independence Structures

Seminar 2 - Relating Causal Structure to Conditional Independence Structure
Schedule for October 12 - 19, 1999

October 12	October 13	October 14	October 15	October 18
11:00 a.m.
Jamie Robins Harvard University Direct Effects and Faithfulness	David Galles University of San Francisco Axioms for Causal Relevance	Vanessa Didelez University of Munich Separation in Local Independence Graphs	Mik Bickis University of Saskatchewan Causal Issues in Biostatistics	Radford Neal University of Toronto Identifying Independence in Causal Graphs with Feedback
1:30 p.m.
Arthur Dempster Harvard University Current Thinking on Causation with Examples	Michael Eichler University of Heidelberg Causal Graphs for Time Series	Paolo Giudici University of Pavia Efficient reversible jump mcmc proposals for model choice in graphical models	Babette Brumback University of Washington Potential Outcomes, Confounding, and Conditional Independence	Thomas Richardson University of Warwick and Peter Spirtes Carnegie Mellon University Causal Inference from Independence in Observational Data