The main aim of robust statistics is the development of methods able to cope with the presence of outliers. A new type of outliers, namely "cellwise", has garnered considerable attention. The state of the art for dealing with cellwise contamination in different models is presented in Raymaekers and Rousseeuw (2024). Outliers in time series can be treated as cellwise outliers, a further discussion on this subject is presented.

翻译：稳健统计学的主要目标是发展能够应对离群值存在的方法。一种新型离群值，即“单元离群值”，已引起广泛关注。Raymaekers 与 Rousseeuw (2024) 阐述了处理不同模型中单元污染的最新进展。时间序列中的离群值可被视为单元离群值，本文对此议题进行了进一步探讨。