Significance of Features via SiZer

SiZer is an exploratory data analysis tool, that works in conjuction with smoothing methods. It addresses the issue that is often central to the use of smoothing in data analysis: which observed features are \really there", and which cannot be distinguished from the background sampling variability? The SiZer approach makes heavy use of scale space ideas.

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