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A Methodology for Automatised Outlier Detection in High-Dimensional Datasets: An Application to Euro Area Banks’ Supervisory Data
Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our method aims to utilise the entire relevant information …