Unfortunately, when there are outliers in the data, classical estimators often have very poor performance, when judged using the "breakdown point" and the "influence function", described below.
Unfortunately, when there are outliers in the data, classical methods often have very poor performance, like standard Kalman filters, which are not robust to them. Perhaps the most common of these are the "breakdown point" and the "influence function", described below.