M -type smoothing splines with auxiliary scale estimation

Abstract A robust data smoothing procedure is derived from coupling M -type smoothing splines with appropriate robust scale estimators. These robustified smoothing splines are computed using an iteratively reweighted penalized least-squares algorithm. A numerical example is given to illustrate the utility of the proposed methodology and demonstrate that the case weights deriving from the robustification process have important diagnostic uses. Asymptotic theory is also provided including consistency and rates of convergence for the proposed estimator.

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