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.
bandwidth selection; false discovery proportion; kernel density estimators; multiple testing
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11385/182626
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