Inter-causal Independence and Heterogeneous Factorization

Nevin Lianwen Zhang; David L Poole

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arXiv · 1302.6855

Inter-causal Independence and Heterogeneous Factorization

Nevin Lianwen Zhang·David L Poole

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Abstract

It is well known that conditional independence can be used to factorize a joint probability into a multiplication of conditional probabilities. This paper proposes a constructive definition of inter-causal independence, which can be used to further factorize a conditional probability. An inference algorithm is developed, which makes use of both conditional independence and inter-causal independence to reduce inference complexity in Bayesian networks.

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Nevin Lianwen Zhang, David L Poole. 2013-02-27. Inter-causal Independence and Heterogeneous Factorization. https://arxiv.org/abs/1302.6855

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