Ӧ�ø���ͳ�� 2012, 28(6) 601-613 DOI:      ISSN: 1001-4268 CN: 31-1256

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Identifying the Causal Effects of Stochastic Interventions by Augmented Causal Networks
Shan Na,Dong Xiaogang
School of Basic Science, Changchun University of Technology
Abstract:

Suppose that the cause-effect relationships
between variables can be described by a causal network. To identify
the causal effect of a stochastic intervention, an augmented causal
network for stochastic intervention is proposed in this paper. Then,
we obtain two graphical criteria for identifying the causal effects
of stochastic interventions from passive observations on observed
variables only. When either of the two criteria is satisfied, a
simple closed-form expression is provided for the causal effect of a
stochastic intervention, which enables researchers to assess the
causal effect with little effort.

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