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

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Registered: 2010-03-06 00:28