Independence, Invariance and the Causal Markov Condition 论文
1999The British Journal for the Philosophy of Science引用 383
Philosophy and History of ScienceBayesian Modeling and Causal InferenceComputational Drug Discovery Methods
摘要
This essay explains what the Causal Markov Condition says and defends the condition from the many criticisms that have been launched against it. Although we are skeptical about some of the applications of the Causal Markov Condition, we argue that it is implicit in the view that causes can be used to manipulate their effects and that it cannot be surrendered without surrendering this view of causation.