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4.0 out of 5 stars one of the most important books on causality, December 11, 2010
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This review is from: Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning) (Hardcover)
This is no doubt one of the key books on causality. The authors developed various search algorithms to determine structure and directions of a causal diagram. They programmed them in their software Tetrad and this book is about the techniques. This one in conjunction with Judea Pearl's Causality are the two most important texts on causality using Bayesian networks/AI. However, I have found Pearl's book more structured and easier to understand than this - partially because of the printing and formatting quality and partially because of the flow.
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Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)
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