Multicausality , randomised manipulation and parameter independence for collections of bayesian networks
Publish place: 06th Iranian Statistics Conference
Publish Year: 1381
Type: Conference paper
Language: English
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Document National Code:
ISC06_047
Index date: 11 April 2010
Multicausality , randomised manipulation and parameter independence for collections of bayesian networks abstract
the multicausal essential graph is defined on the equivalence class of bayesian networks (BNs) where each BN exhibits a strong form of manipulation causality called hypercausality.
Multicausality , randomised manipulation and parameter independence for collections of bayesian networks Keywords:
causal bayesian network , dirichlet distribution , essential graph , hypercausality , hyper -dirichlet , local and global independence , mulicausality.
Multicausality , randomised manipulation and parameter independence for collections of bayesian networks authors
a daneshkhah
department of statistics