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. © 2007 Elsevier Inc. All rights reserved.
Scan clustering: A false discovery approach / Perone Pacifico, Marco; Genovese, C.; Verdinelli, Isabella; Wasserman, L.. - In: JOURNAL OF MULTIVARIATE ANALYSIS. - ISSN 0047-259X. - 98:7(2007), pp. 1441-1469. [10.1016/j.jmva.2006.11.011]
Scan clustering: A false discovery approach
Marco Perone Pacifico;
2007
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. © 2007 Elsevier Inc. All rights reserved.
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