Robust Estimators under the Imprecise Dirichlet Model

Details Robust Estimators under the Imprecise Dirichlet Model Robust Estimators under the Imprecise Dirichlet Model

2003-05-08

arxiv.org/abs/math/0305121v1

Proc. 3rd International Symposium on Imprecise Probabilities and Their Application (ISIPTA-2003), pages 274-289

Mathematics

Probability

16 LaTeX pages

Scientific paper

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.

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