Outlier

An observation in a data set that is numerically distant from the rest of the data.
National Institutes of Health

Papers overview

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Highly Cited
2015
Highly Cited
2015
Outlier detection is an integral component of statistical modelling and estimation. For highdimensional data, classical methods… (More)
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Highly Cited
2009
Highly Cited
2009
The wide availability of precise radiocarbon dates has allowed researchers in a number of disciplines to address chronological… (More)
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Highly Cited
2008
Highly Cited
2008
Neuroimaging group studies are typically performed with the assumption that subjects used are randomly drawn from a population of… (More)
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Review
2008
Review
2008
In this critique of current reading research and practice, the author contends that the extreme ambiguity of English spelling… (More)
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Highly Cited
2007
Highly Cited
2007
We study statistical methods to detect cancer genes that are over- or down-expressed in some but not all samples in a disease… (More)
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Highly Cited
2006
Highly Cited
2006
Most existing approaches to outlier detection are based on density estimation methods. There are two notable issues with these… (More)
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Highly Cited
2006
Highly Cited
2006
UNLABELLED Chromosomal translocations are common in cancer, and in some cases may be causal in the progression of the disease… (More)
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Highly Cited
2006
Highly Cited
2006
Identifying regions of the human genome that have been targets of positive selection will provide important insights into recent… (More)
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Highly Cited
2005
Highly Cited
2005
A new method for multivariate outlier detection able to distinguish between extreme values of a normal distribution and values… (More)
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Highly Cited
2001
Highly Cited
2001
We implemented versions of the SVM appropriate for one-class classification in the context of information retrieval. The… (More)
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