Curvature vs. Slope Inference for Features in Nonparametric Curve Estimates
نویسنده
چکیده
First derivative based tools have been very popular for detecting features in nonparametric curve estimators. However, in many applications second derivative information is quite important for identifying statistically significant features. This paper illustrates several different ways in which second derivative based inference significantly improves upon methods based on first derivatives. The scale space viewpoint provides the foundation for effective use of second derivative information in our inference.
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تاریخ انتشار 2002