Computational challenges in robust statistics KU Leuven
Robust statistics aims at detecting anomalies in data by looking for the pattern followed by the regular measurements. This often leads to complex estimators for which efficient algorithms need to be constructed. The difficulty increases considerably when considering high-dimensional or ultrahigh-dimensional data such as images, videos and omics data. The project aims at developing methods and algorithms that are able to detect outlying cases ...