Regression Can Build Predictive Causal Models

@inproceedings{Ballesteros1994RegressionCB,
  title={Regression Can Build Predictive Causal Models},
  author={Lisa Ballesteros and Dawn E. Gregory and Robert St. AmantComputer},
  year={1994}
}
Covariance information can help an algorithm search for predictive causal models and estimate the strengths of causal relationships. This information should not be discarded after conditional independence constraints are identi ed, as is usual in contemporary causal induction algorithms. Our fbd algorithm combines covariance information with an e ective heuristic to build predictive causal models. We demonstrate that fbd is accurate and e cient. In one experiment we assess fbd's ability to nd… CONTINUE READING

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