Robust estimators under the Imprecise Dirichlet Model
Description
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]
Collections | ANU Research Publications |
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Date published: | 2003 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/15080 |
Book Title: | Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, Lugano, Switzerland, July 14-17, 2003 |
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