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.
Comments on “Challenges of cellwise outliers” by Jakob Raymaekers and Peter J. Rousseeuw / Agostinelli, Claudio. - In: ECONOMETRICS AND STATISTICS. - ISSN 2468-0389. - 20:55(2024). [10.1016/j.ecosta.2024.02.003]
Comments on “Challenges of cellwise outliers” by Jakob Raymaekers and Peter J. Rousseeuw
Agostinelli, Claudio
2024-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
