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...[Show more]
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