Summary: Biometrika (2003), 90, 3, pp. 491­515
© 2003 Biometrika Trust
Printed in Great Britain
Uniform consistency in causal inference
BY JAMES M. ROBINS
Department of Epidemiology and Biostatistics, Harvard University, Boston,
Massachusetts 02115, U.S.A.
robins@hsph.harvard.edu
RICHARD SCHEINES, PETER SPIRTES
Department of Philosophy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213,
U.S.A.
scheines@andrew.cmu.edu ps7z@andrew.cmu.edu
AND LARRY WASSERMAN
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213,
U.S.A.
larry@stat.cmu.edu
SUMMARY
There is a long tradition of representing causal relationships by directed acyclic
graphs (Wright, 1934). Spirtes (1994), Spirtes et al. (1993) and Pearl & Verma (1991)
describe procedures for inferring the presence or absence of causal arrows in the graph

Source: Andrews, Peter B. - Department of Mathematical Sciences, Carnegie Mellon University
Robins, James M.- Departments of Biostatistics & Epidemiology, Harvard University

Collections: Mathematics