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3 projects in result set.
0. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al.
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Registered: 2009-09-22 05:35 |
1. Hyper-g Priors for GAM selection - This R-package implements objective Bayesian model selection with penalised splines, using a so-called hyper-g prior for the parameters in the generalised additive model.
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Registered: 2011-08-11 09:12 |
2. Profile Dirichlet Process Mixtures - This package facilitates profile inference for a class of product partition models (PPM). The Dirichlet process mixture is a specific case in this class. These methods search for the maximum posterior (MAP) estimate for the cluster partition in the PPM.
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Registered: 2009-04-24 15:56 |
