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 (in press). Outliers in time series can be treated as cellwise outliers, a further discussion on this subject is presented.

中文翻译：

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Jakob Raymaekers 和 Peter J. Rousseeuw 对“细胞异常值的挑战”的评论

稳健统计的主要目的是开发能够应对异常值存在的方法。一种新型的异常值，即“cellwise”，引起了相当多的关注。 Raymaekers 和 Rousseeuw（正在出版）介绍了不同模型中处理细胞污染的最新技术。时间序列中的异常值可以被视为细胞异常值，对此主题进行了进一步讨论。