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Computing the update of the repeated median regression line in linear time
Authors:Thorsten Bernholt  Roland Fried
Affiliation:a Fachbereich Informatik, Universität Dortmund, Baroper Strasse 301, 44221 Dortmund, Germany
b Fachbereich Statistik, Universität Dortmund, Vogelpothsweg 87, 44221 Dortmund, Germany
Abstract:The repeated median line estimator is a highly robust method for fitting a regression line to a set of n data points in the plane. In this paper, we consider the problem of updating the estimate after a point is removed from or added to the data set. This problem occurs, e.g., in statistical online monitoring, where the computational effort is often critical. We present a deterministic algorithm for the update working in O(n) time and O(n2) space.
Keywords:Robust regression  Time series analysis  Robust filtering  Repeated median  Computational geometry  Efficient algorithms
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