Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables
نویسندگان
چکیده
منابع مشابه
Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables
Identifiability of parameters is an essential property for a statistical model to be useful in most settings. However, establishing parameter identifiability for Bayesian networks with hidden variables remains challenging. In the context of finite state spaces, we give algebraic arguments establishing identifiability of some special models on small directed acyclic graphs (DAGs). We also establ...
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ژورنال
عنوان ژورنال: Journal of Causal Inference
سال: 2015
ISSN: 2193-3677,2193-3685
DOI: 10.1515/jci-2014-0021