A Data - Adaptive Knot Selection Scheme for

نویسندگان

  • Xuming He
  • Lixin Shen
  • Zuowei Shen
چکیده

| A critical component of spline smoothing is the choice of knots, especially for curves with varying shapes and frequencies in its domain. We consider a two-stage knot selection scheme for adaptively tting splines to data subject to noise. A potential set of knots is chosen based on information from certain wavelet decompositions with the intention to place more points where the curve shows rapid changes. The nal knot selection is then made based on statistical model selection ideas. We show that the proposed method is well suited for a variety of smoothing and noise ltering needs.

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تاریخ انتشار 2007