2 A Tutorial on learning causal influence

dc.contributor.author	Neapolitan Richard E
dc.contributor.author	Jiang Xia
dc.date.accessioned	2017-11-16T14:53:32Z
dc.date.available	2017-11-16T14:53:32Z
dc.date.issued	2006
dc.identifier.uri	http://hdl.handle.net/123456789/4388
dc.description.abstract	In the 1990's related research in artificial intelligence, cognitive science , and philosophy resulted in a method for learning causal relationships from passive data when we have data on at least four variables. We illustrate the method using a few simple examples. Then we present recent research showing that we can even learn something about causal relationships when we have data on only two variables.
dc.format	application/pdf
dc.title	2 A Tutorial on learning causal influence
dc.type	generic