Abstract
The purpose of this contribution is to review outliers in both univariate and multivariate time series. The usual outlier types are presented in several frameworks including linear and nonlinear time series models. The key issues regarding identification of outliers and estimation of their effects in different settings are summarized.
Type
Publication
Robustness and Complex Data Structure
