Practical robust estimators for the imprecise Dirichlet model
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]
|Collections||ANU Research Publications|
|Source:||International Journal of Approximate Reasoning|
|Hutter Practical Robust Estimators 2009.pdf||305.69 kB||Adobe PDF|
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