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3 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.
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Registered: 2010-03-06 00:28 |
1. likelihood-based image id code - Computer-assisted method for assigning animal ids to a database of images using phenotypic measurements extracted from each image. Method is based on likelihood theory, and can handle multiple sources of error inherit in image identification.
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Registered: 2013-03-15 14:51 |
2. Protocol for Adjust & Select Models - This project is about modeling species abundances in communities.
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Registered: 2011-01-18 16:54 |
