Nonparametric Assessment of Contamination in Multivariate Data Using Generalized Quantile Sets and FDR

Abstract

Large, multivariate datasets from high-throughput instrumentation have become ubiquitous in the sciences. Frequently, it is of interest to characterize the measurements in these datasets by the extent to which they represent ‘nominal’ versus ‘contaminated’ instances. However, often the nature of even the nominal patterns in the data are unknown and… (More)

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