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Robust estimators under the Imprecise Dirichlet Model

Hutter, Marcus


Walley's Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in practice, one needs efficient ways for computing the imprecise=robust sets or intervals. The main objective of this work is to derive exact, conservative, and approximate, robust and credible interval estimates...[Show more]

CollectionsANU Research Publications
Date published: 2003
Type: Conference paper


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