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Zusammenfassung
The paper proposes a cross-validation method to address the question of specification search in a multiple nonlinear quantile regression framework. Linear parametric, spline-based partially linear and kernel-based fully nonparametric specifications are contrasted as competitors using cross-validated weighted L(1)-norm based goodness-of-fit and prediction error criteria. The aim is to provide a ...
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