Scan clustering: A false discovery approach

M. Perone Pacifico, C. Genovese, I. Verdinelli and L. Wasserman

Journal of Multivariate Analysis, 2007, vol. 98, issue 7, 1441-1469

Abstract: 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.

Keywords: False; discovery; proportion; Multiple; testing; Kernel; density; estimators; Bandwidth; selection (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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