This article introduces lookout , a new approach to detect outliers using leave-one-out kernel density estimates and extreme value theory. Outlier detection methods that use kernel density estim
Over the years there have been a number of different computational methods that allow for the identification of outliers. Methods for robust estimation are known in the set of M-estimates methods (der
The paper investigates the use of a finite mixture model with an additional uniform density for outlier detection and robust estimation. The main contribution of this paper lies in the analysis of the
