Multicausality , randomised manipulation and parameter independence for collections of bayesian networks
Publish place: 06th Iranian Statistics Conference
Publish Year: 1381
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISC06_047
تاریخ نمایه سازی: 22 فروردین 1389
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.
Keywords:
causal bayesian network , dirichlet distribution , essential graph , hypercausality , hyper -dirichlet , local and global independence , mulicausality.
Authors
a daneshkhah
department of statistics