Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks
نویسندگان
چکیده
منابع مشابه
Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks
This paper examines concepts of independence for full conditional probabilities; that is, for set-functions that encode conditional probabilities as primary objects, and that allow conditioning on events of probability zero. Full conditional probabilities have been used in economics, in philosopy, in statistics, in artificial intelligence. This paper characterizes the structure of full conditio...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2013
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2013.08.001