An optimization interpretation of integration and back-fitting estimators for separable nonparametric models
We provide an optimization interpretation of both back-fitting and integration estimators for additive nonparametric regression. We find that the integration estimator is a projection with respect to a product measure. We also provide further understanding of the back-fitting method.
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