Improved generalized raking estimators to address dependent covariate and failure‐time outcome error
نویسندگان
چکیده
منابع مشابه
Input-Dependent Estimation of Generalization Error under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in interpolation, extrapolation, active learning, or classification with imbalanced data. The violation of this assumption—known as the covariate shift— causes a heavy bias in standard generalization error estimation sch...
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ژورنال
عنوان ژورنال: Biometrical Journal
سال: 2021
ISSN: 0323-3847,1521-4036
DOI: 10.1002/bimj.202000187