SiZer for exploration of structures in curves

Chaudhuri, Probal ; Marron, J. S. (1999) SiZer for exploration of structures in curves Journal of the American Statistical Association, 94 (447). pp. 807-823. ISSN 0162-1459

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In the use of smoothing methods in data analysis, an important question is which observed features are "really there," as opposed to being spurious sampling artifacts. An approach is described based on scale-space ideas originally developed in the computer vision literature. Assessment of Significant ZERo crossings of derivatives results in the SiZer map, a graphical device for display of significance of features with respect to both location and scale. Here "scale" means "level of resolution"; that is, "bandwidth."

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ID Code:74629
Deposited On:17 Dec 2011 10:28
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