The new challenge : from a century of statistics to the age of causation. Paper presented at the second IASC world congress, Pasadena, California, February 1997.

Auteur(s)
Pearl, J.
Jaar
Samenvatting

Some of the main users of statistical methods - economists, social scientists and epidemiologists - are discovering that their fields rest not on statistical but on causal foundations. These foundations have been blurred or avoided through the years for the lack of a mathematical notation capable of distinguishing causal from equational relationships. Recent advances in graphical methods provide formal and natural explication of these distinctions, and are destined to have a major impact on the way statistics is used in knowledge-rich applications. Statisticians, in response, are beginning to realize that causality is not a metaphysical dead-end, but a meaningful concept with clear mathematical underpinning. The paper surveys these transitions and outlines future challenges. (A)

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Publicatie

Bibliotheeknummer
970541 ST [electronic version only]
Uitgave

Los Angeles, CA, University of California at Los Angeles, Department of Computer Science, 1997, 9 p., 53 ref.; Technical Paper ; R-249

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