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One of the goals of probabilistic inference is to decide whether an empirically observed distribution is compatible with a candidate Bayesian network.
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Mendelian randomization as an instrumental variable approach to causal inference
V. Didelez and N. Sheehan · 2007
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Polynomial constraints in causal Bayesian networks
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Causality
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Roland R Ramsahai · 2012
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Entropic inequalities as a necessary and sufficient condition to noncontextuality and locality
R. Chaves, · 2013
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Quantifying causal influences
D. Janzing, D. Balduzzi, M. Grosse-Wentrup, and B. Schölkopf · 2013
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Causal structures from entropic information: Geometry and novel scenarios
R. Chaves, L. Luft, and D. Gross · 2014
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