Learning Link-Probabilities in Causal Trees

Igor Roizer; Judea Pearl

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arXiv · 1304.3103

Learning Link-Probabilities in Causal Trees

Igor Roizer·Judea Pearl

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Abstract

A learning algorithm is presented which given the structure of a causal tree, will estimate its link probabilities by sequential measurements on the leaves only. Internal nodes of the tree represent conceptual (hidden) variables inaccessible to observation. The method described is incremental, local, efficient, and remains robust to measurement imprecisions.

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Igor Roizer, Judea Pearl. 2013-03-27. Learning Link-Probabilities in Causal Trees. https://arxiv.org/abs/1304.3103

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