ABSTRACT
DAVID MADIGAN, MICHAEL D. PERLMAN, and THOMAS S. RICHARDSON University of Washington, Seattle, Washington
1. OVERVIEW One of the most central ideas of statistical science is the assessment of dependencies among a set of random variates. The familiar concepts of correlation, regression, and prediction are manifestations of this idea, and many aspects of causal relationships ultimately rest on representations of multivariate dependence.
