New algorithm swiftly detects and removes outliers in large data sets.
The researchers developed a new method called Penalised Trimmed Squares (PTS) to improve linear regression by handling outliers better. This method is more robust and efficient than existing ones. They also created a fast algorithm, Fast-PTS, to quickly compute the PTS estimator for large datasets. The algorithm successfully identifies groups of outliers in a reasonable amount of time.
