Robust causal structure learning with some hidden variables
نویسندگان
چکیده
منابع مشابه
Causal Networks Learning Acausal Networks Learning Influence Diagrams Learning Causal-Network Parameters Learning Causal-Network Structure Learning Hidden Variables Learning More General Causal Models Advances: Learning Causal Networks
Bayesian methods have been developed for learning Bayesian networks from data. Most of this work has concentrated on Bayesian networks interpreted as a representation of probabilistic conditional independence without considering causation. Other researchers have shown that having a causal interpretation can be important, because it allows us to predict the effects of interventions in a domain. ...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
سال: 2019
ISSN: 1369-7412
DOI: 10.1111/rssb.12315