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  • Judea Pearl, Re E Ev, V Vi, I Ie, E Ew, W We +2 others
  • 2001
This book seeks to integrate research on cause and effect inference from cog-nitive science, econometrics, epidemiology, philosophy, and statistics+ It puts forward the work of its author, his collaborators, and others over the past two decades as a new account of cause and effect inference that can aid practical researchers in many fields, including(More)
The primary aim of this paper is to show how graphical models can be used as a mathematical language for integrating statistical and subject-matter information. In particular, the paper develops a principled, nonparametric framework for causal inference, in which diagrams are queried to determine if the assumptions available are suucient for identifying(More)