Scan clustering: A false discovery approach

We present a method that scans a random field for localized clusters while controlling the fraction of false discoveries. We use a kernel density estimator as the test statistic and adjust for the bias in this estimator by a method we introduce in this paper. We also show how to combine information across multiple bandwidths while maintaining false discovery control.

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Year of publication:	2007
Authors:	Perone Pacifico, M. ; Genovese, C. ; Verdinelli, I. ; Wasserman, L.
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 98.2007, 7, p. 1441-1469
Publisher:	Elsevier
Keywords:	False discovery proportion Multiple testing Kernel density estimators Bandwidth selection

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005221698