Bayesian nets and causality
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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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Citations of this work BETA
Interpreting Causality in the Health Sciences.Federica Russo & Jon Williamson - 2007 - International Studies in the Philosophy of Science 21 (2):157 – 170.
Causal Graphs and Biological Mechanisms.Alexander Gebharter & Marie I. Kaiser - 2014 - In Marie I. Kaiser, Oliver Scholz, Daniel Plenge & Andreas Hüttemann (eds.), Explanation in the special sciences: The case of biology and history. Dordrecht: Springer. pp. 55-86.
Evolutionary Epistemology and the Aim of Science.Darrell Patrick Rowbottom - 2010 - Australasian Journal of Philosophy 88 (2):209-225.
Generalised Reichenbachian Common Cause Systems.Claudio Mazzola - 2019 - Synthese 196 (10):4185-4209.
Causality and Unification: How Causality Unifies Statistical Regularities.Gerhard Schurz - 2015 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 30 (1):73-95.
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