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ISIPTA
2003
IEEE

Robust Estimators under the Imprecise Dirichlet Model

9 years 6 months ago
Robust Estimators under the Imprecise Dirichlet Model
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 under the IDM for a large class of statistical estimators, including the entropy and mutual information.
Marcus Hutter
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ISIPTA
Authors Marcus Hutter
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