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0. Generalized iLUCK-models - Interval/imprecise probability models allowing non-stochastic uncertainty in Bayesian analysis by defining sets of conjugate priors such that the set of posteriors, obtained by updating each prior in the set by Bayes' rule, is still easy to handle.

Development Status : 2 - Pre-Alpha (Now Filtering)
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop (Now Filtering)
Intended Audience : Other Audience [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Programming Language : R [Filter]
Topic : Bayesian Statistics (Now Filtering)
Topic : Other/Nonlisted Topic [Filter]
Topic : Robust Statistics [Filter]

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Registered: 2010-03-06 00:28