Bayesian nets and causality
| Abstract | How should we reason with causal relationships? Much recent work on this question has been devoted to the theses (i) that Bayesian nets provide a calculus for causal reasoning and (ii) that we can learn causal relationships by the automated learning of Bayesian nets from observational data. The aim of this book is to.. | |||||||||
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Similar books and articlesBradford McCall (2008). Jon Williamson, Bayesian Nets and Causality: Philosophical and Computational Foundations. Minds and Machines 18 (2).
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