Bayesian Causality
نویسندگان
چکیده
منابع مشابه
Causality in Bayesian Belief Networks
We address the problem of causal interpre tation of the graphical structure of Bayesian belief networks (BBNs). We review the con cept of causality explicated in the domain of structural equations models and show that it is applicable to BBNs. In this view, which we call mechanism-based, causality is defined within models and causal asymmetries arise ·, when mechanisms are placed in the conte...
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The use of intervention for time series modelling is a well established technique for on-line forecasting and decision-making in the context of Bayesian dynamic linear models. Intervention has also been recently used in (non-dynamic) Bayesian networks to investigate causal relationships between variables, and in dynamic Bayesian networks to investigate lagged causal relationships between time s...
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ژورنال
عنوان ژورنال: The American Statistician
سال: 2019
ISSN: 0003-1305,1537-2731
DOI: 10.1080/00031305.2019.1647876