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2 projects in result set.
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]
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- Topic : Bayesian Statistics [Filter]
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- Topic : Robust Statistics [Filter]
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Registered: 2010-03-06 00:28 |
1. Protocol for Adjust & Select Models - This project is about modeling species abundances in communities. |
- Development Status : 1 - Planning [Filter]
- Development Status : 2 - Pre-Alpha [Filter]
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Registered: 2011-01-18 16:54 |