Parallelized prediction error estimation for evaluation of high-dimensional models
نویسندگان
چکیده
منابع مشابه
Parallelized prediction error estimation for evaluation of high-dimensional models
UNLABELLED There is a multitude of new techniques that promise to extract predictive information in bioinformatics applications. It has been recognized that a first step for validation of the resulting model fits should rely on proper use of resampling techniques. However, this advice is frequently not followed, potential reasons being difficulty of correct implementation and computational dema...
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15 صفحه اولA general, prediction error-based criterion for selecting model complexity for high-dimensional survival models.
When fitting predictive survival models to high-dimensional data, an adequate criterion for selecting model complexity is needed to avoid overfitting. The complexity parameter is typically selected by the predictive partial log-likelihood (PLL) estimated via cross-validation. As an alternative criterion, we propose a relative version of the integrated prediction error curve (IPEC), which can be...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2009
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btp062