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Practical robust estimators for the imprecise Dirichlet model

Hutter, Marcus


Walley’s imprecise Dirichlet model (IDM) for categorical i.i.d. data extends the classical Dirichlet model to a set of priors. It 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 under the IDM for a large class of...[Show more]

CollectionsANU Research Publications
Date published: 2009-01
Type: Journal article
Source: International Journal of Approximate Reasoning
DOI: 10.1016/j.ijar.2008.03.020


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