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Programming Language :: R [Remove This Filter]
Topic :: Machine Learning :: Regularized and Shrinkage Methods [Remove This Filter]
Topic :: Machine Learning :: Model Selection and Validation [Remove This Filter]
License :: OSI Approved :: GNU General Public License (GPL) [Remove This Filter]
Intended Audience > Developers |
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2 projects in result set.
0. CoxFlexBoost - CoxFlexBoost:
likelihood-based boosting approach to fit structured Cox-type survival models with linear, smooth and (linear/smooth) time-varying effects.
By applying a component-wise boosting approach variable selection and model choice are possible. | |
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Registered: 2008-10-30 14:30 |
1. Sparse Multivariate Diffusions - Inference for discretely observed high dimensional diffusions given by SDEs with a sparse drift based on penalized loss function estimation and subsampling methods. | |
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Activity Percentile: 0.00 Registered: 2010-07-05 09:50 |