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; C., Genovese; Verdinelli, Isabella; L., Wasserman. - 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
PERONE PACIFICO, Marco;VERDINELLI, Isabella;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
