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Robust inference of trees

Zaffalon, Marco; Hutter, Marcus


This paper is concerned with the reliable inference of optimal tree-approximations to the dependency structure of an unknown distribution generating data. The traditional approach to the problem measures the dependency strength between random variables by the index called mutual information. In this paper reliability is achieved by Walley's imprecise Dirichlet model, which generalizes Bayesian learning with Dirichlet priors. Adopting the imprecise Dirichlet model results in posterior interval...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Annals of Mathematics and Artificial Intelligence
DOI: 10.1007/s10472-005-9007-9


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