Detecting anomalous payments networks: A dimensionality-reduction approach
Anomaly-detection methods are aimed at identifying observations that deviate manifestly from what is expected. Such methods are usually run on low-dimensional data, such as time series data. However, the increasing importance of high-dimensional payments and exposure data for financial oversight req...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-01-01
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| Series: | Latin American Journal of Central Banking |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666143820300016 |