Inter-causal Independence and Heterogeneous Factorization

📝 Original Info

• Title: Inter-causal Independence and Heterogeneous Factorization
• ArXiv ID: 1302.6855
• Date: 2013-02-28
• Authors: Researchers from original ArXiv paper

📝 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.

💡 Deep Analysis

Deep Dive into Inter-causal Independence and Heterogeneous Factorization.

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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